5109 search results - page 112 / 1022 » On Learning Limiting Programs |
118
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ERLANG
2003
ACM
15 years 7 months ago
2003
ACM
This paper describes how the Erlang programming language could be extended with parameterized modules, in a way that is compatible with existing code. This provides a powerful way...
134
Voted
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
119
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AAAI
2006
15 years 3 months ago
2006
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
134
Voted
FLAIRS
2003
15 years 3 months ago
2003
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
128
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ICMLA
2010
14 years 11 months ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...