336 search results - page 10 / 68 » Learning with Equivalence Constraints and the Relation to Mu... |
EMNLP
2010
13 years 5 months ago
2010
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
JMLR
2006
13 years 7 months ago
2006
A classical approach in multi-class pattern classification is the following. Estimate probability distributions that generated the observations for each label class, and then labe...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...
ICML
2004
IEEE
14 years 1 months ago
2004
IEEE
We consider the problem of eliminating redundant Boolean features for a given data set, where a feature is redundant if it separates the classes less well than another feature or ...
MCS
2009
Springer
14 years 8 days ago
2009
Springer
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...