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	SVM - Support Vector Machines ν-SVM B. Schölkopf, A. J. Smola, R. C. Williamson, and P. L. Bartlett, New support vector algorithms, Neural Comput. 2000, 12, 1207-1245. C. C. Chang and C. J. Lin, Training ν-support vector classifiers: Theory and algorithms, Neural Comput. 2001, 13, 2119-2147. C. C. Chang and C. J. Lin, Training ν-support vector regression: Theory and algorithms, Neural Comput. 2002, 14, 1959-1977. I. Steinwart, On the optimal parameter choice for ν-support vector machines, IEEE Trans. Pattern Anal. Mach. Intell. 2003, 25, 1274-1284. P. H. Chen, C. J. Lin, and B. Schölkopf, A tutorial on ν-support vector machines, Appl. Stoch. Models. Bus. Ind. 2005, 21, 111-136.	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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