1405 search results - page 172 / 281 » Anytime Algorithm for Feature Selection |
164
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ATAL
2011
Springer
14 years 2 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
144
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ICCV
2005
IEEE
16 years 4 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
125
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MM
2005
ACM
15 years 8 months ago
2005
ACM
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
143
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
132
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
We motivate and analyse a new Tree Search algorithm, based on recent advances in the use of Gaussian Processes for bandit problems. We assume that the function to maximise on the ...