1799 search results - page 174 / 360 » Filtered Reinforcement Learning |
182
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AAAI
2010
15 years 6 months ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
154
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DAGM
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
191
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SIGIR
2011
ACM
14 years 7 months ago
2011
ACM
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
129
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DCC
2002
IEEE
16 years 4 months ago
2002
IEEE
On-line adaptation to nonstationary distributions is essential to good performance in image coding. Fixed-size contexts (with adaptive tables) are also widely used, in conjunction...
136
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...