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Least squares support vector machine
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#	Item
71	A Fast Iterative Algorithm for Fisher Discriminant using Heterogeneous Kernels Glenn Fung [removed] Murat Dundar Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:05 Statistical classification Support vector machine Linear classifier Least squares support vector machine Linear discriminant analysis Sequential minimal optimization Kernel Positive-definite kernel Reproducing kernel Hilbert space Statistics Algebra Mathematics
72	A majorization-minimization algorithm for (multiple) hyperparameter learning Chuan-Sheng Foo Institute for Infocomm Research, 1 Fusionopolis Way, Singapore[removed], Singapore Chuong B. Do Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:30 Regression analysis Statistical classification Hyperparameter Sensitivity analysis Supervised learning Tikhonov regularization Least squares Support vector machine Regularization Statistics Bayesian statistics Machine learning
73	PDF Document Add to Reading List Source URL: iis.uibk.ac.at Language: English - Date: 2014-02-18 10:02:13 Statistical classification Support vector machine Kernel methods Gaussian function Function Least squares support vector machine Machine learning Statistics Mathematics
74	massachusetts institute of technology — computer science and artificial intelligence laboratory Regularization Through Feature Knock Out Lior Wolf and Ian Martin AI Memo[removed] Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2005-02-02 13:01:50 Ensemble learning Machine learning Statistical classification Linear algebra Least squares Regularization Support vector machine AdaBoost Tikhonov regularization Statistics Mathematics Algebra
75	Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs Gavin C. Cawley School of Computing Sciences University of East Anglia Norwich NR4 7TJ Add to Reading List Source URL: theoval.cmp.uea.ac.uk Language: English - Date: 2012-09-05 05:12:54 Machine learning Model selection Statistical classification Cross-validation Least squares Support vector machine Degrees of freedom Loss function Cholesky decomposition Statistics Regression analysis Econometrics
76	IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 2, APRIL[removed]Extreme Learning Machine for Regression and Multiclass Classification Add to Reading List Source URL: www3.ntu.edu.sg Language: English - Date: 2012-03-15 21:51:12 Learning Statistical classification Support vector machines Perceptron Stability Feature selection Feedforward neural network Least squares support vector machine Ranking SVM Machine learning Statistics Neural networks
77	CHAPTER 6 Ovidiu Ivanciuc. Applications of Support Vector Machines in Chemistry. In: Reviews in Computational Chemistry, Volume 23, Eds.: K. B. Lipkowitz and T. R. Cundari. Wiley-VCH, Weinheim, 2007, pp. 291–400. Appl Add to Reading List Source URL: www.ivanciuc.org Language: English - Date: 2009-01-18 01:27:31 Support vector machines Least squares support vector machine Kernel methods Cross-validation Quantitative structure–activity relationship Supervised learning Linear classifier Kernel principal component analysis Shogun Statistics Machine learning Statistical classification
78	[removed] {taku-ku,matsu}@is.aist-nara.ac.jp Add to Reading List Source URL: chasen.org Language: English - Date: 2002-01-12 17:35:12 Statistical classification Learning Support vector machines Machine learning Vector space Least squares support vector machine Algebra Mathematics Statistics
79	Support Vector Machine[removed] Add to Reading List Source URL: chasen.org Language: English - Date: 2002-01-12 17:35:12 Statistical classification Support vector machines Kernel methods Vector space Least squares support vector machine Ranking SVM Algebra Statistics Mathematics
80	Greg Grudic Machine Learning Greg Grudic Add to Reading List Source URL: www.cs.colorado.edu Language: English - Date: 2004-01-27 17:16:50 Mathematics Support vector machines Learning Linear algebra Hyperplane Machine learning Active learning Least squares support vector machine Statistics Geometry Statistical classification