3324 search results - page 156 / 665 » Learning Appropriate Contexts |
152
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NIPS
1994
15 years 5 months ago
1994
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
149
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INCDM
2010
Springer
15 years 3 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
136
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ICCS
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. Infinite contexts and their corresponding lattices are of theoretical and practical interest since they may offer connections with and insights from other mathematical ...
155
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ESANN
2006
15 years 5 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
138
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ICML
1996
IEEE
15 years 8 months ago
1996
IEEE
A learner's performance does not rely only on the representation language and on the algorithm inducing a hypothesis in this language. Also the way the induced hypothesis is ...