Least squares support vector machine

Results: 94



#Item
21Learning / Statistical classification / Support vector machines / Stability / Empirical risk minimization / Perceptron / Artificial neural network / Least squares support vector machine / Machine learning / Statistics / Neural networks

Comparing performance and robustness of SVM and ANN for fault diagnosis in a centrifugal pump

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-15 22:31:53
22Statistical classification / Support vector machine / AdaBoost / Perceptron / Margin classifier / Kernel trick / Boosting / Decision stump / Least squares support vector machine / Machine learning / Statistics / Ensemble learning

Novel Distance-Based SVM Kernels for Infinite Ensemble Learning Hsuan-Tien Lin and Ling Li , Learning Systems Group, California Institute of Technology, USA

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Source URL: www.work.caltech.edu

Language: English - Date: 2005-11-06 04:48:00
23Learning / Support vector machines / VC dimension / Least squares support vector machine / Statistics / Machine learning / Statistical classification

Use of Multi-category Proximal SVM for Data Set Reduction S.V.N Vishwanathan ?

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Source URL: www.stat.purdue.edu

Language: English - Date: 2008-09-11 13:00:48
24Statistical classification / Abstract algebra / Linear algebra / Support vector machines / Polynomial / Kernel trick / Vector space / Least squares support vector machine / Algebra / Statistics / Mathematics

Journal of Machine Learning Research1490 Submitted 8/09; Revised 1/10; Published 4/10 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM

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Source URL: www.csie.ntu.edu.tw

Language: English - Date: 2010-08-15 03:30:50
25Support vector machine / Least squares / Linear least squares / Feature selection / Statistics / Regression analysis / Relevance vector machine

c Springer-Verlag Sparse Kernel Regressors Volker Roth University of Bonn, Department of Computer Science III,

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Source URL: cs-wwwarchiv.cs.unibas.ch

Language: English - Date: 2007-12-03 08:49:19
26Supervised learning / Support vector machine / Relevance vector machine / Regularization / Iteratively reweighted least squares / Generalized linear model / Linear least squares / Ordinary least squares / Linear regression / Statistics / Regression analysis / Least squares

16 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 15, NO. 1, JANUARY 2004 The Generalized LASSO Volker Roth

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Source URL: cs-wwwarchiv.cs.unibas.ch

Language: English - Date: 2009-09-16 12:22:16
27Support vector machine / Linear discriminant analysis / Linear classifier / Kernel methods / Least squares support vector machine / Quadratic classifier / Statistics / Machine learning / Statistical classification

Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters Volker Roth Department of Computer Science III University of Bonn

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Source URL: cs-wwwarchiv.cs.unibas.ch

Language: English - Date: 2007-12-03 08:49:15
28Support vector machine / Linear discriminant analysis / Discriminative model / Kernel methods / Regression analysis / Linear classifier / Least squares support vector machine / Statistics / Statistical classification / Machine learning

c Springer-Verlag Probabilistic Discriminative Kernel Classifiers for Multi-class Problems Volker Roth

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Source URL: cs-wwwarchiv.cs.unibas.ch

Language: English - Date: 2007-12-03 08:49:16
29Statistical classification / Support vector machines / Least squares support vector machine / Stability / Vector space / Positive-definite kernel / Algebra / Statistics / Mathematics

Forecasting of building settlements due to earthquake liquefaction based on LSSVM with mixed kernel Fei Wang* Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing, C

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Source URL: www.ejge.com

Language: English - Date: 2015-01-01 12:00:01
30Machine learning / Support vector machines / Information theory / Differential geometry / Least squares support vector machine / Statistics / Statistical classification / Hinge loss

Max-margin Methods Notation Notation Example images (v1T, v2T,…,v5T)T, where

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2009-06-21 14:47:09
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