864 search results - page 96 / 173 » Selective Attention Improves Learning |
132
Voted
AAAI
2010
15 years 6 months ago
2010
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
148
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COLT
2010
Springer
15 years 2 months ago
2010
Springer
We analyze the regret, measured in terms of log loss, of the maximum likelihood (ML) sequential prediction strategy. This "follow the leader" strategy also defines one o...
150
Voted
CORR
2010
Springer
15 years 4 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
164
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TREC
2004
15 years 6 months ago
2004
Our experiments in the Robust track this year focused on predicting query difficulty and using this prediction for improving information retrieval. We developed two prediction alg...
140
Voted
CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...