654 search results - page 92 / 131 » TRUST-TECH based Methods for Optimization and Learning |
KDD
2009
ACM
16 years 1 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
100
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GECCO
2005
Springer
15 years 6 months ago
2005
Springer
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
75
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
147
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BMCBI
2007
15 years 24 days ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...