653 search results - page 80 / 131 » The Logic of Learning |
172
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KCAP
2003
ACM
15 years 10 months ago
2003
ACM
While existing learning techniques can be viewed as inducing programs from examples, most research has focused on rather narrow classes of programs, e.g., decision trees or logic ...
152
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AAMAS
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. Networked multi-agent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply cha...
262
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ICLP
2009
Springer
16 years 6 months ago
2009
Springer
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
145
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IDEAL
2005
Springer
15 years 11 months ago
2005
Springer
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
137
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FUZZIEEE
2007
IEEE
15 years 11 months ago
2007
IEEE
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...