5771 search results - page 320 / 1155 » Learning similarity space |
156
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ALT
2001
Springer
15 years 11 months ago
2001
Springer
We develop a theory for learning scenarios where multiple learners co-exist but there are mutual compatibility constraints on their outcomes. This is natural in cognitive learning...
280
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ATAL
2006
Springer
15 years 10 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
167
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ALT
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
196
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ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
206
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SDM
2008
SIAM
15 years 8 months ago
2008
SIAM
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...