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Least squares support vector machine
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#	Item
41	New Support Vector Algorithms Bernhard Scholkopf, GMD 1 Alex J. Smola, GMD 2 Robert Williamson, Australian National University 3 Peter Bartlett, Australian National University 4 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 05:30:59 Statistical classification Support vector machine Least squares Robust statistics Variance Quantile regression Least squares support vector machine Statistics Regression analysis Econometrics
42	SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming Qiang Wu [removed] Ding-Xuan Zhou Add to Reading List Source URL: www6.cityu.edu.hk Language: English - Date: 2012-09-11 23:37:55 Hinge loss Quadratic programming Regression analysis Least squares support vector machine Stability Statistics Statistical classification Support vector machines
43	Journal of Machine Learning Research[removed]2296 Submitted 5/10; Revised 3/11; Published 7/11 MSVMpack: A Multi-Class Support Vector Machine Package Fabien Lauer Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-07-11 12:48:17 Support vector machines Least squares support vector machine Machine learning Statistics Statistical classification
44	Notes 4 Statistical Machine Learning Linear Methods Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:34 Econometrics Estimation theory Least squares Least absolute deviations Linear regression Regularization Elastic net regularization Tikhonov regularization Support vector machine Statistics Regression analysis Mathematical optimization
45	Fast n-Fold Cross-Validation for Regularized Least-Squares Tapio Pahikkala? Jorma Boberg? Tapio Salakoski? ? Add to Reading List Source URL: www.stes.fi Language: English - Date: 2006-10-19 04:44:00 Statistical classification Regression analysis Linear algebra Support vector machines Regularization Least squares support vector machine Tikhonov regularization Pattern recognition Recursive least squares filter Statistics Machine learning Algebra
46	Direct Kernel Partial Least Squares (DK-PLS): Feature Selection with Sensitivity Analysis Mark J. Embrechts () Kristin Bennett www.drugmining.com Add to Reading List Source URL: clopinet.com Language: English* - Date: 2003-12-19 16:44:36 Partial least squares regression Kernel methods Kernel principal component analysis Support vector machine Kernel Feature selection Principal component analysis Mlpy Statistics Machine learning Multivariate statistics
47	One-sided Support Vector Regression for Multiclass Cost-sensitive Classification Han-Hsing Tu Hsuan-Tien Lin Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:40 Support vector machine Statistical classification Supervised learning Perceptron Regression analysis Empirical risk minimization Kernel trick Pattern recognition Least squares support vector machine Statistics Machine learning Computational statistics
48	Intersection Delay Estimation from Floating Car Data via Stacked Generalization: A Case Study on Beijing’s Road Networks Xiliang Liu, Feng Lu, Hengcai Zhang State Key Lab of Resources and Environmental Information Syst Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-04-04 07:27:14 Statistical classification Regression analysis Neural networks Artificial neural network Traffic flow Support vector machine Least squares support vector machine Linear regression Forecasting Statistics Computational neuroscience Econometrics
49	Learning with Recursive Perceptual Representations Oriol Vinyals UC Berkeley Berkeley, CA Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:40 Artificial intelligence Neural networks Support vector machines Linear classifier Perceptron Least squares support vector machine Statistics Machine learning Statistical classification
50	Joint Kernel Support Estimation for Structured Prediction Christoph H. Lampert, Matthew B. Blaschko {chl, blaschko}@tuebingen.mpg.de Max Planck Institute for Biological Cybernetics, T¨ ubingen, Germany Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:12:39 Support vector machines Pattern recognition Kernel Cross-validation Perceptron Regression analysis Structured SVM Least squares support vector machine Statistics Machine learning Statistical classification