Least Squares Support Vector Machines
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SVM - Support Vector Machines Review: Applications of Support Vector Machines in Chemistry, Rev. Comput.Chem. 2007, 23, 291-400 Pattern recognition develops and applies algorithms that recognize patterns in data. These techniques have important applications in character recognition, speech analysis, image analysis, clinical diagnostics, person identification, machine diagnostics, and industrial process supervision. 7 train Models By Tag The caret Package - GitHub Pages 7 train Models By Tag. The following is a basic list of model types or relevant characteristics. There entires in these lists are arguable. For example: random forests theoretically use feature selection but effectively may not, support vector machines use L2 regularization etc. Software Kernel Machines Kernel-Machines.Org software links. News Call for NIPS 2008 Kernel Learning Workshop Submissions 2008-09-30 Tutorials uploaded 2008-05-13 Machine Learning Summer School / Course On The Analysis On Patterns 2007-02-12 New Kernel-Machines.org server 2007-01-30 Call for participation: The 2006 kernel workshop, "10 years of kernel machines" 2006-10-06
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