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Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/Crc Machine Learning & Pattern Recognition Series)
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Regularization, Optimization, Kernels, and From Chapman and Hall/CRC epub Regularization, Optimization, Kernels, and From Chapman and Hall/CRC pdf download Regularization, Optimization, Kernels, and From Chapman and Hall/CRC pdf file Regularization, Optimization, Kernels, and From Chapman and Hall/CRC audiobook Regularization, Optimization, Kernels, and From Chapman and Hall/CRC book review Regularization, Optimization, Kernels, and From Chapman and Hall/CRC summary
| #3351966 in Books | 2014-10-23 | Original language:English | PDF # 1 | 9.00 x1.40 x6.40l,.0 | File type: PDF | 525 pages||About the Author||Johan A.K. Suykens is a professor at Katholieke Universiteit Leuven, Belgium, where he obtained a degree in electro-mechanical engineering and a Ph.D in applied sciences. He has been a visiting postdoctoral researcher at the Un
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers in machine learning, this comprehen...
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