719 search results - page 44 / 144 » Discriminative learning for differing training and test dist... |
JMLR
2006
14 years 9 months ago
2006
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
CVPR
2007
IEEE
15 years 4 months ago
2007
IEEE
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
NIPS
2007
14 years 11 months ago
2007
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
EMNLP
2007
14 years 11 months ago
2007
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...