[PDF.35jj] Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

[PDF.qo15] Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

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 | #2553328 in Books |  Chapman and Hall/CRC |  2012-12-17 | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,1.40 | File type: PDF | 363 pages

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|| ||This book provides a concise overview of support vector machines (SVMs), starting from the basics and connecting to many of their most significant extensions. Starting from an optimization perspective provides a new way of presenting the material, including m

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)―classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built.

The authors share insight on many of their research achievements. They g...

You can specify the type of files you want, for your device.Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)   |  Naiyang Deng, Yingjie Tian, Chunhua Zhang.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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