Papyrus 88: Difference between revisions

Revision as of 17:04, 26 February 2013

Template:Infobox Algorithm Sequential minimal optimization (SMO) is an algorithm for solving the optimization problem which arises during the training of support vector machines. It was invented by John Platt in 1998 at Microsoft Research.^[1] SMO is widely used for training support vector machines and is implemented by the popular LIBSVM tool.^[2]^[3] The publication of the SMO algorithm in 1998 has generated a lot of excitement in the SVM community, as previously available methods for SVM training were much more complex and required expensive third-party QP solvers.^[4]

Optimization problem

Mining Engineer (Excluding Oil ) Truman from Alma, loves to spend time knotting, largest property developers in singapore developers in singapore and stamp collecting. Recently had a family visit to Urnes Stave Church. Consider a binary classification problem with a dataset (x₁, y₁), ..., (x_n, y_n), where x_i is an input vector and Template:Nobr is a binary label corresponding to it. A soft-margin support vector machine is trained by solving a quadratic programming problem, which is expressed in the dual form as follows:

\max _{\alpha }\sum _{i=1}^{n}\alpha _{i}-{\frac {1}{2}}\sum _{i=1}^{n}\sum _{j=1}^{n}y_{i}y_{j}K(x_{i},x_{j})\alpha _{i}\alpha _{j},

subject to:

0\leq \alpha _{i}\leq C,\quad {\mbox{ for }}i=1,2,\ldots ,n,

\sum _{i=1}^{n}y_{i}\alpha _{i}=0

where C is an SVM hyperparameter and K(x_i, x_j) is the kernel function, both supplied by the user; and the variables $\alpha _{i}$ are Lagrange multipliers.

Algorithm

SMO is an iterative algorithm for solving the optimization problem described above. SMO breaks this problem into a series of smallest possible sub-problems, which are then solved analytically. Because of the linear equality constraint involving the Lagrange multipliers $\alpha _{i}$ , the smallest possible problem involves two such multipliers. Then, for any two multipliers $\alpha _{1}$ and $\alpha _{2}$ , the constraints are reduced to:

0\leq \alpha _{1},\alpha _{2}\leq C,

y_{1}\alpha _{1}+y_{2}\alpha _{2}=k,

and this reduced problem can be solved analytically: one needs to find a minimum of a one-dimensional quadratic function. $k$ is the sum over the rest of terms in the equality constraint, which is fixed in each iteration.

The algorithm proceeds as follows:

Find a Lagrange multiplier $\alpha _{1}$ that violates the Karush–Kuhn–Tucker (KKT) conditions for the optimization problem.
Pick a second multiplier $\alpha _{2}$ and optimize the pair $(\alpha _{1},\alpha _{2})$ .
Repeat steps 1 and 2 until convergence.

When all the Lagrange multipliers satisfy the KKT conditions (within a user-defined tolerance), the problem has been solved. Although this algorithm is guaranteed to converge, heuristics are used to choose the pair of multipliers so as to accelerate the rate of convergence.

References

43 year old Petroleum Engineer Harry from Deep River, usually spends time with hobbies and interests like renting movies, property developers in singapore new condominium and vehicle racing. Constantly enjoys going to destinations like Camino Real de Tierra Adentro.

External links

LIBSVM

↑ Many property agents need to declare for the PIC grant in Singapore. However, not all of them know find out how to do the correct process for getting this PIC scheme from the IRAS. There are a number of steps that you need to do before your software can be approved.

Naturally, you will have to pay a safety deposit and that is usually one month rent for annually of the settlement. That is the place your good religion deposit will likely be taken into account and will kind part or all of your security deposit. Anticipate to have a proportionate amount deducted out of your deposit if something is discovered to be damaged if you move out. It's best to you'll want to test the inventory drawn up by the owner, which can detail all objects in the property and their condition. If you happen to fail to notice any harm not already mentioned within the inventory before transferring in, you danger having to pay for it yourself.

In case you are in search of an actual estate or Singapore property agent on-line, you simply should belief your intuition. It's because you do not know which agent is nice and which agent will not be. Carry out research on several brokers by looking out the internet. As soon as if you end up positive that a selected agent is dependable and reliable, you can choose to utilize his partnerise in finding you a home in Singapore. Most of the time, a property agent is taken into account to be good if he or she locations the contact data on his website. This may mean that the agent does not mind you calling them and asking them any questions relating to new properties in singapore in Singapore. After chatting with them you too can see them in their office after taking an appointment.

Have handed an trade examination i.e Widespread Examination for House Brokers (CEHA) or Actual Property Agency (REA) examination, or equal; Exclusive brokers are extra keen to share listing information thus making certain the widest doable coverage inside the real estate community via Multiple Listings and Networking. Accepting a severe provide is simpler since your agent is totally conscious of all advertising activity related with your property. This reduces your having to check with a number of agents for some other offers. Price control is easily achieved. Paint work in good restore-discuss with your Property Marketing consultant if main works are still to be done. Softening in residential property prices proceed, led by 2.8 per cent decline within the index for Remainder of Central Region

Once you place down the one per cent choice price to carry down a non-public property, it's important to accept its situation as it is whenever you move in – faulty air-con, choked rest room and all. Get round this by asking your agent to incorporate a ultimate inspection clause within the possibility-to-buy letter. HDB flat patrons routinely take pleasure in this security net. "There's a ultimate inspection of the property two days before the completion of all HDB transactions. If the air-con is defective, you can request the seller to repair it," says Kelvin.

15.6.1 As the agent is an intermediary, generally, as soon as the principal and third party are introduced right into a contractual relationship, the agent drops out of the image, subject to any problems with remuneration or indemnification that he could have against the principal, and extra exceptionally, against the third occasion. Generally, agents are entitled to be indemnified for all liabilities reasonably incurred within the execution of the brokers´ authority.

To achieve the very best outcomes, you must be always updated on market situations, including past transaction information and reliable projections. You could review and examine comparable homes that are currently available in the market, especially these which have been sold or not bought up to now six months. You'll be able to see a pattern of such report by clicking here It's essential to defend yourself in opposition to unscrupulous patrons. They are often very skilled in using highly unethical and manipulative techniques to try and lure you into a lure. That you must also protect your self, your loved ones, and personal belongings as you'll be serving many strangers in your home. Sign a listing itemizing of all of the objects provided by the proprietor, together with their situation. HSR Prime Recruiter 2010
↑ One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
↑ Luca Zanni (2006). Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems.
↑ Many property agents need to declare for the PIC grant in Singapore. However, not all of them know find out how to do the correct process for getting this PIC scheme from the IRAS. There are a number of steps that you need to do before your software can be approved.

Naturally, you will have to pay a safety deposit and that is usually one month rent for annually of the settlement. That is the place your good religion deposit will likely be taken into account and will kind part or all of your security deposit. Anticipate to have a proportionate amount deducted out of your deposit if something is discovered to be damaged if you move out. It's best to you'll want to test the inventory drawn up by the owner, which can detail all objects in the property and their condition. If you happen to fail to notice any harm not already mentioned within the inventory before transferring in, you danger having to pay for it yourself.

In case you are in search of an actual estate or Singapore property agent on-line, you simply should belief your intuition. It's because you do not know which agent is nice and which agent will not be. Carry out research on several brokers by looking out the internet. As soon as if you end up positive that a selected agent is dependable and reliable, you can choose to utilize his partnerise in finding you a home in Singapore. Most of the time, a property agent is taken into account to be good if he or she locations the contact data on his website. This may mean that the agent does not mind you calling them and asking them any questions relating to new properties in singapore in Singapore. After chatting with them you too can see them in their office after taking an appointment.

Have handed an trade examination i.e Widespread Examination for House Brokers (CEHA) or Actual Property Agency (REA) examination, or equal; Exclusive brokers are extra keen to share listing information thus making certain the widest doable coverage inside the real estate community via Multiple Listings and Networking. Accepting a severe provide is simpler since your agent is totally conscious of all advertising activity related with your property. This reduces your having to check with a number of agents for some other offers. Price control is easily achieved. Paint work in good restore-discuss with your Property Marketing consultant if main works are still to be done. Softening in residential property prices proceed, led by 2.8 per cent decline within the index for Remainder of Central Region

Once you place down the one per cent choice price to carry down a non-public property, it's important to accept its situation as it is whenever you move in – faulty air-con, choked rest room and all. Get round this by asking your agent to incorporate a ultimate inspection clause within the possibility-to-buy letter. HDB flat patrons routinely take pleasure in this security net. "There's a ultimate inspection of the property two days before the completion of all HDB transactions. If the air-con is defective, you can request the seller to repair it," says Kelvin.

15.6.1 As the agent is an intermediary, generally, as soon as the principal and third party are introduced right into a contractual relationship, the agent drops out of the image, subject to any problems with remuneration or indemnification that he could have against the principal, and extra exceptionally, against the third occasion. Generally, agents are entitled to be indemnified for all liabilities reasonably incurred within the execution of the brokers´ authority.

To achieve the very best outcomes, you must be always updated on market situations, including past transaction information and reliable projections. You could review and examine comparable homes that are currently available in the market, especially these which have been sold or not bought up to now six months. You'll be able to see a pattern of such report by clicking here It's essential to defend yourself in opposition to unscrupulous patrons. They are often very skilled in using highly unethical and manipulative techniques to try and lure you into a lure. That you must also protect your self, your loved ones, and personal belongings as you'll be serving many strangers in your home. Sign a listing itemizing of all of the objects provided by the proprietor, together with their situation. HSR Prime Recruiter 2010

[1] Many property agents need to declare for the PIC grant in Singapore. However, not all of them know find out how to do the correct process for getting this PIC scheme from the IRAS. There are a number of steps that you need to do before your software can be approved.

Naturally, you will have to pay a safety deposit and that is usually one month rent for annually of the settlement. That is the place your good religion deposit will likely be taken into account and will kind part or all of your security deposit. Anticipate to have a proportionate amount deducted out of your deposit if something is discovered to be damaged if you move out. It's best to you'll want to test the inventory drawn up by the owner, which can detail all objects in the property and their condition. If you happen to fail to notice any harm not already mentioned within the inventory before transferring in, you danger having to pay for it yourself.

In case you are in search of an actual estate or Singapore property agent on-line, you simply should belief your intuition. It's because you do not know which agent is nice and which agent will not be. Carry out research on several brokers by looking out the internet. As soon as if you end up positive that a selected agent is dependable and reliable, you can choose to utilize his partnerise in finding you a home in Singapore. Most of the time, a property agent is taken into account to be good if he or she locations the contact data on his website. This may mean that the agent does not mind you calling them and asking them any questions relating to new properties in singapore in Singapore. After chatting with them you too can see them in their office after taking an appointment.

Have handed an trade examination i.e Widespread Examination for House Brokers (CEHA) or Actual Property Agency (REA) examination, or equal; Exclusive brokers are extra keen to share listing information thus making certain the widest doable coverage inside the real estate community via Multiple Listings and Networking. Accepting a severe provide is simpler since your agent is totally conscious of all advertising activity related with your property. This reduces your having to check with a number of agents for some other offers. Price control is easily achieved. Paint work in good restore-discuss with your Property Marketing consultant if main works are still to be done. Softening in residential property prices proceed, led by 2.8 per cent decline within the index for Remainder of Central Region

Once you place down the one per cent choice price to carry down a non-public property, it's important to accept its situation as it is whenever you move in – faulty air-con, choked rest room and all. Get round this by asking your agent to incorporate a ultimate inspection clause within the possibility-to-buy letter. HDB flat patrons routinely take pleasure in this security net. "There's a ultimate inspection of the property two days before the completion of all HDB transactions. If the air-con is defective, you can request the seller to repair it," says Kelvin.

15.6.1 As the agent is an intermediary, generally, as soon as the principal and third party are introduced right into a contractual relationship, the agent drops out of the image, subject to any problems with remuneration or indemnification that he could have against the principal, and extra exceptionally, against the third occasion. Generally, agents are entitled to be indemnified for all liabilities reasonably incurred within the execution of the brokers´ authority.

To achieve the very best outcomes, you must be always updated on market situations, including past transaction information and reliable projections. You could review and examine comparable homes that are currently available in the market, especially these which have been sold or not bought up to now six months. You'll be able to see a pattern of such report by clicking here It's essential to defend yourself in opposition to unscrupulous patrons. They are often very skilled in using highly unethical and manipulative techniques to try and lure you into a lure. That you must also protect your self, your loved ones, and personal belongings as you'll be serving many strangers in your home. Sign a listing itemizing of all of the objects provided by the proprietor, together with their situation. HSR Prime Recruiter 2010

[2] One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang

[3] Luca Zanni (2006). Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems.

[4] Many property agents need to declare for the PIC grant in Singapore. However, not all of them know find out how to do the correct process for getting this PIC scheme from the IRAS. There are a number of steps that you need to do before your software can be approved.

Naturally, you will have to pay a safety deposit and that is usually one month rent for annually of the settlement. That is the place your good religion deposit will likely be taken into account and will kind part or all of your security deposit. Anticipate to have a proportionate amount deducted out of your deposit if something is discovered to be damaged if you move out. It's best to you'll want to test the inventory drawn up by the owner, which can detail all objects in the property and their condition. If you happen to fail to notice any harm not already mentioned within the inventory before transferring in, you danger having to pay for it yourself.

In case you are in search of an actual estate or Singapore property agent on-line, you simply should belief your intuition. It's because you do not know which agent is nice and which agent will not be. Carry out research on several brokers by looking out the internet. As soon as if you end up positive that a selected agent is dependable and reliable, you can choose to utilize his partnerise in finding you a home in Singapore. Most of the time, a property agent is taken into account to be good if he or she locations the contact data on his website. This may mean that the agent does not mind you calling them and asking them any questions relating to new properties in singapore in Singapore. After chatting with them you too can see them in their office after taking an appointment.

Have handed an trade examination i.e Widespread Examination for House Brokers (CEHA) or Actual Property Agency (REA) examination, or equal; Exclusive brokers are extra keen to share listing information thus making certain the widest doable coverage inside the real estate community via Multiple Listings and Networking. Accepting a severe provide is simpler since your agent is totally conscious of all advertising activity related with your property. This reduces your having to check with a number of agents for some other offers. Price control is easily achieved. Paint work in good restore-discuss with your Property Marketing consultant if main works are still to be done. Softening in residential property prices proceed, led by 2.8 per cent decline within the index for Remainder of Central Region

Once you place down the one per cent choice price to carry down a non-public property, it's important to accept its situation as it is whenever you move in – faulty air-con, choked rest room and all. Get round this by asking your agent to incorporate a ultimate inspection clause within the possibility-to-buy letter. HDB flat patrons routinely take pleasure in this security net. "There's a ultimate inspection of the property two days before the completion of all HDB transactions. If the air-con is defective, you can request the seller to repair it," says Kelvin.

15.6.1 As the agent is an intermediary, generally, as soon as the principal and third party are introduced right into a contractual relationship, the agent drops out of the image, subject to any problems with remuneration or indemnification that he could have against the principal, and extra exceptionally, against the third occasion. Generally, agents are entitled to be indemnified for all liabilities reasonably incurred within the execution of the brokers´ authority.

To achieve the very best outcomes, you must be always updated on market situations, including past transaction information and reliable projections. You could review and examine comparable homes that are currently available in the market, especially these which have been sold or not bought up to now six months. You'll be able to see a pattern of such report by clicking here It's essential to defend yourself in opposition to unscrupulous patrons. They are often very skilled in using highly unethical and manipulative techniques to try and lure you into a lure. That you must also protect your self, your loved ones, and personal belongings as you'll be serving many strangers in your home. Sign a listing itemizing of all of the objects provided by the proprietor, together with their situation. HSR Prime Recruiter 2010

[1]

[2]

[3]

[4]

@@ Line 1: / Line 1: @@
-Ugg boots are popular in this cold winter. I can feel the warmth, protection, safety, style and support when [http://tinyurl.com/nqbkz6z ugg outlet] boots come in mind. In addition, can you find these shoes and boots from a brand? Yes, you can, the brand is [http://tinyurl.com/nqbkz6z ugg outlet]. Ugg Boot is the product you have been looking for long that provides endurance, safety and style, all at the same time. Depend on the unique warmth, Ugg boots get much favor from different people especially woman.<br><br>The colorful styles of Ugg boots and shoes are also important factor to the popularity. You can find any style shoes and boots from [http://tinyurl.com/nqbkz6z ugg outlet] such as Ugg Classic, Ugg Ultra, Ugg Slippers and Ugg Sandals. What's more, you can also choose any colors from pink, black, light color and dark color according to your hobbies and styles. To tell you the truth, Ugg boots are very well to go with your clothes such as skirts, hoodies, jeans and others. In a sense, Ugg boots are really good choice. You can choose your ideal boots from our website shop if you want to purchase one. We promise send a pair to you if you purchase two pairs of Ugg shoes and boots.<br><br>The real Ugg boots are made from Australia sheepskin. This material are so fine that they can make you warm in cold season and make you cool in hot season. As we all know that Ugg boots and shoes are so popular that all kinds of people such as ordinary people and super celebrities all wear them in lives and attend all kinds of parties. In a sense, [http://tinyurl.com/nqbkz6z ugg outlet] boots are the combination of fashion, warmth and comfort. That leads to the popularity of Ugg. But I know that many people hesitate for the high price when they deciding to purchase a pair of fine Ugg boots. Now, I suggest that you should buy discount Ugg boots.<br><br>You have probably heard of discounted Ugg boots. It's simply on everyone's wish list for this season. This means that they are selling like crazy. Many stores both online and around the block are running out of Uggs stocks. Whether its last year's style or this year's new release, Uggs are getting sold out. For some Ugg enthusiasts, the only other option is to look for discount Uggs in online auction sites.<br><br>As we all know, Ugg boots walk into the top of fashion with the unique design and appearance today. So many people as well as super stars wear Ugg boots as fashion. They wear Ugg Classic tall Boots, Ugg Sandals and ugg classic Cardy to attend all kinds of parties and appear on fashion magazines and TV show. I know that many people thought Ugg boots were ugly and uncool. But no one can imagine that Ugg boots became the symbol of fashion after years. Do you want to wear those fashionable ugg boots? Rating: Please Rate: Processing ... (Average: Not rated) Views: 132 Print Email Report Share Tweet Related Articles <br>Fashionable Ugg Boots Make You Trendy<br><br>Handbag Organizer Options That Are Practical and Unique<br><br>UGG Classic Tall Boots Make You Confident<br><br>Warm And Fashionable Ugg Boots<br><br>Many Styles Of [http://tinyurl.com/nqbkz6z ugg outlet] Boots For Kids<br><br>Winter Ugg Boots For Everyone<br>Latest Articles <br>Effective tips to select the nail salon<br><br>Top 5 Trendy Dresses for Women<br><br>Choose comfortable and soft panty to avoid skin irritation<br><br>The Significance of a Trendy and Stylish Handbag<br><br>Shopping Online: The Greatest Approach to Obtain Ideal Bridesmaid Dresses Brisbane<br><br>Why You Should Own a Pair of Peep Toe Shoes<br>Please enable JavaScript to view the comments. Article Categories <br>Arts and EntertainmentArtists<br>Gambling<br>Humanities<br>Humor<br>Movies<br>Music<br>Photography<br>Tattoos<br>Television<br><br><br>Autos and CarsClassic Cars<br>Motorcycles<br>Recreational Vehicles<br>SUVs<br>Trucks<br>Vans<br><br><br>BusinessBranding<br>Business Opportunities<br>Careers and Jobs<br>Corporate<br>Customer Service<br>Direct Mail<br>Entrepreneurship<br>Ethics<br>Financing<br>Franchising<br>Home-Based Business<br>Human Resources<br>Import and Export<br>Leadership<br>Management<br>Market Research<br>Marketing and Advertising<br>Negotiation<br>Network Marketing<br>Networking<br>Organizational<br>Presentation<br>Project Management<br>Public Relations<br>Small Business<br>Strategic Planning<br>Team Building<br>Telemarketing<br>Training<br><br><br>ComputersData Recovery<br>Databases<br>Games<br>Hardware<br>Networks<br>Operating Systems<br>Programming<br>Security<br>Software<br>Spyware and Viruses<br><br><br>Education and ReferenceAsk an Expert<br>College and University<br>Home Schooling<br>K-12<br>Languages<br>Online Education<br>Psychology<br><br><br>FinanceAccounting<br>Credit<br>Currency Trading<br>Debt Consolidation<br>Insurance<br>Investing<br>Leasing<br>Loans<br>Mortgage<br>Mutual Funds<br>Personal Finance<br>Stock Market<br>Structured Settlements<br>Taxes<br>Wealth Building<br><br><br>Food and DrinkCoffee<br>Cooking<br>Gourmet<br>Recipes<br>Wine and Spirits<br><br><br>HealthAcne<br>Aerobics<br>[http://www.Google.co.uk/search?hl=en&gl=us&tbm=nws&q=Alternative+Medicine&gs_l=news Alternative Medicine]<br>Beauty<br>Cancer<br>Cosmetics<br>Depression<br>Diabetes<br>Diseases and Conditions<br>Fitness Equipment<br>Fitness<br>Hair Loss<br>Heart Disease<br>Medicine<br>Men's Health<br>Muscle Building<br>Nutrition<br>Skin Care<br>Supplements and Vitamins<br>Weight Loss<br>Women's Health<br>Yoga<br><br><br>Home and FamilyArts and Crafts<br>Babies<br>Collecting<br>Elderly Care<br>Genealogy<br>Hobbies<br>Parenting<br>Pets<br>Pregnancy<br>Woodworking<br><br><br>Home ImprovementFeng Shui<br>Gardening<br>Home Appliances<br>Home Security<br>Interior Design<br>Landscaping<br><br><br>InternetAffiliate Programs<br>Article Marketing<br>Auctions<br>Audio<br>Banner Advertising<br>Blogging<br>Broadband<br>Domain Names<br>E-Books<br>E-Commerce<br>Email Marketing<br>Ezines and Newsletters<br>Forums<br>Internet Marketing<br>Link Popularity<br>Pay-Per-Click<br>Podcasting<br>RSS<br>Search Engine Marketing<br>Search Engine Optimization<br>Security<br>Social Media<br>Spam<br>Video<br>Viral Marketing<br>Web Design<br>Web Development<br>Web Hosting<br><br><br>LawCopyright<br>Cyber Law<br>Intellectual Property<br>National, State, Local<br>Patents<br>Regulatory Compliance<br>Trademarks<br><br><br>Real EstateBuying<br>Selling<br><br><br>Recreation and SportsBaseball<br>Basketball<br>Boating<br>Cycling<br>Extreme Sports<br>Fishing<br>Football<br>Golf<br>Hockey<br>Hunting<br>Martial Arts<br>Running<br>Scuba Diving<br>Soccer<br>Swimming<br>Tennis<br><br><br>RelationshipsDating<br>Divorce<br>Marriage<br>Weddings<br><br><br>Religion and SpiritualityAstrology<br>Buddhism<br>Christianity<br>Faith<br>Hinduism<br>Islam<br>Judaism<br>Meditation<br>Metaphysical<br>New Age<br><br><br>Science and TechnologyCable and Satellite TV<br>Cell Phones<br>Communication<br>[http://Thesaurus.com/browse/Gadgets Gadgets] and Gizmos<br>GPS<br>Satellite Radio<br>Video Conferencing<br>VoIP<br><br><br>Self ImprovementAddictions<br>Coaching<br>Goal Setting<br>Motivational<br>Stress Management<br>Time Management<br><br><br>ShoppingClothing<br>Electronics<br>Fashion<br>Gifts<br>Jewelry<br><br><br>Society and CultureCauses and Organizations<br>Environment<br>History<br>Holidays<br>Men's Issues<br>Nature<br>Philosophy<br>Politics<br>Women's Issues<br>World Affairs<br><br><br>TravelAir Travel<br>Camping<br>Cruises<br>Destinations<br>Outdoors<br><br><br>WritingArticle Writing<br>Book Reviews<br>Copywriting<br>Fiction<br>Non-Fiction<br>Poetry<br>Quotes<br>Screenplay<br>Tools and Resources<br><br>Artipot About Us<br><br>FAQ<br><br>Contact Us<br><br>Privacy Policy<br><br>Latest Articles<br><br>Top Articles<br><br>Top Authors<br><br>Site Map<br>Authors Submit Articles<br><br>Author Login<br><br>Editorial Guidelines<br><br>Terms of Service<br>Publishers Terms of Service<br>Follow Us RSS<br>Blog<br>Facebook<br>Twitter<br>Google+<br>� 2014 Artipot - Free Articles. All rights reserved.
+{{Infobox Algorithm
+|image=
+|class=[[Optimization algorithm]] for training support vector machines
+|data=
+|time=O(''n''³)
+|space=
+}}
+'''Sequential minimal optimization''' ('''SMO''') is an algorithm for solving the optimization problem which arises during the training of [[support vector machine]]s. It was invented by [[John Platt (Principal Researcher)|John Platt]] in 1998 at [[Microsoft Research]].<ref>{{Citation
+ | last = Platt | first = John
+ | year = 1998
+ | title = Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines
+ | id = {{citeseerx|10.1.1.43.4376}}
+}}</ref> SMO is widely used for training support vector machines and is implemented by the popular [[LIBSVM]] tool.<ref>{{cite journal
+|last1=Chang |first1=Chih-Chung
+|last2=Lin |first2=Chih-Jen
+|title=LIBSVM: A library for support vector machines
+|journal=ACM Transactions on Intelligent Systems and Technology
+|volume=2 |issue=3 |year=2011
+}}</ref><ref>Luca Zanni (2006). ''[http://jmlr.csail.mit.edu/papers/volume7/zanni06a/zanni06a.pdf Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems]''.</ref> The publication of the SMO algorithm in 1998 has generated a lot of excitement in the SVM community, as previously available methods for SVM training were much more complex and required expensive third-party [[Quadratic programming|QP]] solvers.<ref>{{Citation
+ | last = Rifkin | first = Ryan
+ | year = 2002
+ | url = http://dspace.mit.edu/handle/1721.1/17549
+ | title = Everything Old is New Again: a Fresh Look at Historical Approaches in Machine Learning
+ | journal = Ph.D. thesis
+ | pages = 18
+}}</ref>
+== Optimization problem ==
+{{main|Support vector machine}}
+Consider a [[binary classification]] problem with a dataset (''x''<sub>1</sub>, ''y''<sub>1</sub>), ..., (''x''<sub>''n''</sub>, ''y''<sub>''n''</sub>), where ''x''<sub>''i''</sub> is an input vector and {{nobr|''y''<sub>''i''</sub> ∈ {-1, +1} }} is a binary label corresponding to it. A soft-margin [[support vector machine]] is trained by solving a quadratic programming problem, which is expressed in the [[Dual problem|dual form]] as follows:
+:<math>\max_{\alpha} \sum_{i=1}^n \alpha_i - \frac12 \sum_{i=1}^n \sum_{j=1}^n y_i y_j K(x_i, x_j) \alpha_i \alpha_j,</math>
+:subject to:
+:<math>0 \leq \alpha_i \leq C, \quad \mbox{ for } i=1, 2, \ldots, n,</math>
+:<math>\sum_{i=1}^n y_i \alpha_i = 0</math>
+where ''C'' is an SVM hyperparameter and ''K''(''x''<sub>''i''</sub>, ''x''<sub>''j''</sub>) is the [[kernel function]], both supplied by the user; and the variables <math>\alpha_i</math> are [[Lagrange multiplier]]s.
+== Algorithm ==
+SMO is an iterative algorithm for solving the optimization problem described above. SMO breaks this problem into a series of smallest possible sub-problems, which are then solved analytically. Because of the linear equality constraint involving the Lagrange multipliers <math>\alpha_i</math>, the smallest possible problem involves two such multipliers. Then, for any two multipliers <math>\alpha_1</math> and <math>\alpha_2</math>, the constraints are reduced to:
+:<math>0 \leq \alpha_1, \alpha_2 \leq C,</math>
+:<math>y_1 \alpha_1 + y_2 \alpha_2 = k,</math>
+and this reduced problem can be solved analytically: one needs to find a minimum of a one-dimensional quadratic function. <math>k</math> is the sum over the rest of terms in the equality constraint, which is fixed in each iteration.
+The algorithm proceeds as follows:
+# Find a Lagrange multiplier <math>\alpha_1</math> that violates the [[Karush–Kuhn–Tucker conditions|Karush–Kuhn–Tucker (KKT) conditions]] for the optimization problem.
+# Pick a second multiplier <math>\alpha_2</math> and optimize the pair <math>(\alpha_1,\alpha_2)</math>.
+# Repeat steps 1 and 2 until convergence.
+When all the Lagrange multipliers satisfy the KKT conditions (within a user-defined tolerance), the problem has been solved. Although this algorithm is guaranteed to converge, heuristics are used to choose the pair of multipliers so as to accelerate the rate of convergence.
+== References ==
+{{reflist}}
+== External links ==
+* [http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]
+{{DEFAULTSORT:Sequential Minimal Optimization}}
+[[Category:Optimization algorithms and methods]]
+[[Category:Support vector machines]]