228 search results - page 19 / 46 » Ensemble Learning Based on Multi-Task Class Labels |
AI
2002
Springer
13 years 8 months ago
2002
Springer
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
ADBIS
2003
Springer
14 years 1 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
ICML
1997
IEEE
14 years 11 hour ago
1997
IEEE
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
FSS
2008
13 years 8 months ago
2008
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...