3050 search results - page 308 / 610 » On-line Algorithms in Machine Learning |
177
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IEEECIT
2007
IEEE
16 years 26 days ago
2007
IEEE
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
194
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WEBI
2005
Springer
16 years 1 days ago
2005
Springer
Schema matching is a complex process focusing on matching between concepts describing the data in heterogeneous data sources. There is a shift from manual schema matching, done by...
173
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
160
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
156
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...