4128 search results - page 286 / 826 » Learning and using relational theories |
208
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AAMAS
2007
Springer
16 years 26 days ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
186
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MM
2004
ACM
16 years 3 days ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
201
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ISTCS
1997
Springer
15 years 10 months ago
1997
Springer
Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...
193
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AI
2002
Springer
15 years 6 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
143
Voted
COLING
2008
15 years 8 months ago
2008
In this paper, we explore a conceptual resource for Chinese nominal phrases, which allows multi-dependency and distinction between dependency and the corresponding exact relation....