%0 Report %1 Scholkopf00b %A Schölkopf, Bernhard %D 2000 %K final kernel learning thema:Distance_metric_learning:A_comprehensive_survey %N 2000-23 %T Statistical Learning and Kernel Methods %U http://www.research.microsoft.com/scripts/pubs/view.asp?TR\\_ID=MSR-TR-2000-23 %X Brief description of the main ideas of statistical learning theory, support vector machines, and kernel feature spaces.

@techreport{Scholkopf00b, abstract = {Brief description of the main ideas of statistical learning theory, support vector machines, and kernel feature spaces.}, added-at = {2014-04-25T23:58:56.000+0200}, author = {Sch{\"o}lkopf, Bernhard}, biburl = {https://www.bibsonomy.org/bibtex/2cefebef324cd5bcd5eb67afe7ed94c25/mobeck}, institution = {Microsoft Research}, interhash = {8638c022ddbe604f20c9ea0c22cd9bce}, intrahash = {cefebef324cd5bcd5eb67afe7ed94c25}, keywords = {final kernel learning thema:Distance_metric_learning:A_comprehensive_survey}, number = {2000-23}, timestamp = {2014-06-22T17:52:16.000+0200}, title = {Statistical Learning and Kernel Methods}, type = {MSR-TR}, url = {http://www.research.microsoft.com/scripts/pubs/view.asp?TR\\_ID=MSR-TR-2000-23}, year = 2000 }