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147
Voted
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
109
Voted
ALT
2008
Springer
16 years 16 days ago
2008
Springer
The question investigated in this paper is to what extent an input representation influences the success of learning, in particular from the point of view of analyzing agents that...
120
Voted
WWW
2007
ACM
16 years 4 months ago
2007
ACM
The Biased Minimax Probability Machine (BMPM) constructs a classifier which deals with the imbalanced learning tasks. In this paper, we propose a Second Order Cone Programming (SO...
126
Voted
SEAL
1998
Springer
15 years 7 months ago
1998
Springer
Abstract. Robustness has long been recognised as a critical issue for coevolutionary learning. It has been achieved in a number of cases, though usually in domains which involve so...
136
Voted
ICML
1997
IEEE
15 years 7 months 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...