225 search results - page 9 / 45 » Feature selection is the ReliefF for multiple instance learn... |
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
In the paper we present a generalized discriminative multiple instance learning algorithm (GD-MIL) for multimedia semantic concept detection. It combines the capability of the MIL...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
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COLT
2010
Springer
14 years 7 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
101
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PPSN
2010
Springer
14 years 7 months ago
2010
Springer
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...