19 search results - page 1 / 4 » Tuning Support Vector Machines for Minimax and Neyman-Pearso... |
PAMI
2010
13 years 2 months ago
2010
PREMI
2007
Springer
13 years 10 months ago
2007
Springer
Support vector machine (SVM) which was originally designed for binary classification has achieved superior performance in various classification problems. In order to extend it to ...
JMLR
2002
13 years 4 months ago
2002
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
NIPS
2004
13 years 5 months ago
2004
The support vector machine (SVM) is a widely used tool for classification. Many efficient implementations exist for fitting a two-class SVM model. The user has to supply values fo...
ML
2002
ACM
13 years 4 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...