813 search results - page 101 / 163 » Ensemble Algorithms in Reinforcement Learning |
152
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ICDM
2006
IEEE
15 years 10 months ago
2006
IEEE
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
132
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CIBB
2008
15 years 6 months ago
2008
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
158
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
140
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ECML
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
119
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MCS
2004
Springer
15 years 9 months ago
2004
Springer
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...