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Kernel methods
Results: 264

#	Item
211	Multiclass Core Vector Machine S. Asharaf [removed] M. Narasimha Murty [removed] S. K. Shevade Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:20 Learning Support vector machines Perceptron Kernel methods Kernel trick Machine learning Statistics Statistical classification
212	SVM Optimization: Inverse Dependence on Training Set Size Shai Shalev-Shwartz Nathan Srebro Toyota Technological Institute at Chicago, 1427 East 60th Street, Chicago IL 60637, USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-23 03:15:52 Support vector machine Learning Cross-validation Stochastic gradient descent Kernel methods Supervised learning Statistics Machine learning Statistical classification
213	Co-EM Support Vector Learning Ulf Brefeld [removed] Tobias Scheﬀer [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:27 Transduction Semi-supervised learning Support vector machine Active learning Co-training Supervised learning Pattern recognition Expectation–maximization algorithm Kernel methods Machine learning Statistics Artificial intelligence
214	The cross entropy method for classification Shie Mannor Dept. of Electrical and Computer Engineering, McGill University, Montreal, Canada [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:45 Support vector machines Statistical classification Sequential minimal optimization Cross-entropy method Mathematical optimization Vector space Kernel methods Stochastic optimization Stability Machine learning Algebra Statistics
215	Hierarchic Bayesian Models for Kernel Learning Mark Girolami [removed] Simon Rogers [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:02 Regression analysis Support vector machine Relevance vector machine Gamma distribution Normal distribution Bayesian linear regression Kernel methods Variational Bayesian methods Kernel Statistics Bayesian statistics Statistical classification
216	Supervised versus Multiple Instance Learning: An Empirical Comparison Soumya Ray [removed] Mark Craven Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:12 Multiple-instance learning Support vector machine Supervised learning Pattern recognition Kernel methods Algorithm Boosting Machine learning Artificial intelligence Statistics
217	Review of Le ture 15 • Kernel methods Add to Reading List Source URL: www.amlbook.com Language: English - Date: 2014-07-09 00:45:59
218	The Numerical Stability of Kernel Methods Shawn Martin Sandia National Laboratories Albuquerque, NM, USA Dec. 15th, 2005 Add to Reading List Source URL: www.sandia.gov Language: English - Date: 2013-12-09 16:27:34 Multivariate statistics Numerical linear algebra Singular value decomposition Matrices Signal processing Kernel principal component analysis Support vector machine Kernel Numerical analysis Statistics Algebra Machine learning
219	The Numerical Stability of Kernel Methods Shawn Martin Sandia National Laboratories P.O. Box 5800 Albuquerque, NM[removed]removed] Add to Reading List Source URL: www.sandia.gov Language: English - Date: 2013-12-09 16:26:42 Singular value decomposition Multivariate statistics Numerical linear algebra Matrix theory Principal component analysis Kernel principal component analysis Kernel Eigenvalues and eigenvectors Nonlinear dimensionality reduction Algebra Linear algebra Mathematics
220	Curriculum Vitae Fei Sha Department of Computer Science University of Southern California 941 Bloomwalk Los Angeles, CA 90089 Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2014-06-28 14:12:03 Computational neuroscience Cybernetics Learning Algorithm Kernel methods Neural network E-learning Computer science Machine learning Education Statistics

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