2623 search results - page 271 / 525 » Universal Learning Theory |
204
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AAMAS
2007
Springer
16 years 23 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...
150
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ITICSE
2005
ACM
16 years 4 days ago
2005
ACM
Traditional teaching methods have acknowledged limitations. Lectures may be used to transmit information efficiently, but often fail to motivate students to engage with the subjec...
244
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LAMAS
2005
Springer
16 years 2 days ago
2005
Springer
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
184
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MM
2004
ACM
16 years 15 hour 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...
172
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DAGM
2004
Springer
15 years 12 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...