Home  Support Vector Machines  SVM Reviews  SVM Books  SVM Software  Pattern Recognition  Optimum Hyperplane  SVM Regression  ν-SVM  SVM Statistics  Machine Learning  MLnet  NEuroNet  EvoNet  UCI Repository  List 1  List 2  List 3  Wikipedia  Repository  ROCKIT  Weka  C4.5  YALE  Tutorials	Support Vector Machines SVM Regression O. L. Mangasarian and D. R. Musicant, Robust linear and support vector regression, IEEE Trans. Pattern Analysis Mach. Intell. 2000, 22, 950-955. O. L. Mangasarian and D. R. Musicant, Large scale kernel regression via linear programming, Mach. Learn. 2002, 46, 255-269. J. B. Gao, S. R. Gunn, and C. J. Harris, SVM regression through variational methods and its sequential implementation, Neurocomputing 2003, 55, 151-167. J. B. Gao, S. R. Gunn, and C. J. Harris, Mean field method for the support vector machine regression, Neurocomputing 2003, 50, 391-405. A. J. Smola and B. Schölkopf, A tutorial on support vector regression, Stat. Comput. 2004, 14, 199-222.	Search "SVM" in:  PubMed  PubMed Central  CiteSeer  Google Scholar  Google  Scirus  BioChem Press  Search "Support Vector" in:  PubMed  PubMed Central  CiteSeer  Google Scholar  Google  Scirus  BioChem Press  Journals  JMLR  IEJMD  Bioinformatics  Nucleic Acids Research  BioMed Central  Literature Databases  PubMed  PubMed Central  CiteSeer  Search Engines  DOAJ  Scirus  OJOSE
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