Least squares support vector machine - PDFSEARCH.IO - Document Search Engine

Least squares support vector machine
Results: 94

#	Item
61	LSIS TREC VIDEO 2008 High Level Feature Shot Segmentation using Compact Profil Entropy and Affinity Propagation Clustering Herve GLOTIN and Zhongqiu ZHAO Laboratoire des sciences de l’information et des systemes UMR CN Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:54:00 Support vector machines Machine learning Information retrieval Harmonic mean Average Least squares support vector machine Entropy Active learning Information theory Statistics Means Statistical classification
62	Multiplicative Updates for L1 –Regularized Linear and Logistic Regression Fei Sha1 , Y. Albert Park2 , and Lawrence K. Saul2 1 Computer Science Division, University of California Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Mathematical optimization Regression analysis Matrix theory Statistical classification Weight Non-negative matrix factorization Least squares Degrees of freedom Support vector machine Algebra Mathematics Linear algebra
63	Proximity measures in the proxy package for R David Meyer February 6, 2010 1 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-02-19 19:01:55 Regression analysis Mathematics Statistical classification Covariance and correlation Information bottleneck method Least squares support vector machine Statistics Distance Length
64	GURLS: a Least Squares Library for Supervised Learning Andrea Tacchetti§ , Pavan K. Mallapragada , Matteo Santoro§ , Lorenzo Rosasco§ arXiv:1303.0934v1 [cs.LG] 5 Mar 2013 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2013-04-17 17:16:49 Support vector machine Least squares support vector machine Supervised learning Gaussian function Statistics Machine learning Statistical classification
65	GURLS: a Least Squares Library for Supervised Learning Andrea Tacchetti§ , Pavan K. Mallapragada , Matteo Santoro§ , Lorenzo Rosasco§ arXiv:1303.0934v1 [cs.LG] 5 Mar 2013 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2013-04-17 17:16:49 Support vector machine Least squares support vector machine Supervised learning Gaussian function Statistics Machine learning Statistical classification
66	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-299 June 3, 2011 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2011-06-30 17:49:06 Statistical classification Linear algebra Learning Support vector machine Supervised learning Matrix Trace Linear classifier Least squares support vector machine Statistics Machine learning Mathematics
67	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-299 June 3, 2011 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2011-06-30 17:49:06 Statistical classification Linear algebra Learning Support vector machine Supervised learning Matrix Trace Linear classifier Least squares support vector machine Statistics Machine learning Mathematics
68	More Generality in Efficient Multiple Kernel Learning Manik Varma [removed] Microsoft Research India, Second Main Road, Sadashiv Nagar, Bangalore[removed], India Bodla Rakesh Babu Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:26 Ensemble learning Support vector machine Multivariate statistics Supervised learning Dimension reduction Kernel LPBoost AdaBoost Least squares support vector machine Statistics Machine learning Statistical classification
69	Minimum Reference Set Based Feature Selection for Small Sample Classifications Xue-wen Chen [removed] Jong Cheol Jeong Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:26:27 Statistical classification Support vector machine K-nearest neighbor algorithm VC dimension Feature selection Structural risk minimization Training set Least squares support vector machine Supervised learning Statistics Machine learning Artificial intelligence
70	Adapting Two-Class Support Vector Classification Methods to Many Class Problems Simon I. Hill Department of Engineering, University of Cambridge, UK Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:46 Statistical classification Functional analysis Vectors Group theory Linear algebra Vector space Least squares support vector machine Support vector machine Distribution Algebra Mathematics Statistics

UPDATE