Support Vector Machines (SVMs)

Advantages Comparison with Artificial Neural Networks Bagging Bibliographies Books Classification Comparisons with other techniques Convexity Disadvantages Domain Knowledge Duality Feature Selection Financial Applications Glossary Gram Matrix Heuristics Hilbert Space History Optimal Separating Hyperplanes Implementation Introduction Journals Kernels Key Features Karush-Kuhn-Tucker conditions Lagrangian Learnability Links Local Mailing Lists Mercer’s Condition Model Selection Newsgroups Norms nu PAC Learning Parameters People Performance Quadratic Programming Regression Regularization Statistical Learning Theory Software Structural Risk Minimization Survey Top 100 Publications Training Tutorials VC Dimension

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