2045 search results - page 21 / 409 » Learning programming with Erlang |
LLC
2010
14 years 9 months ago
2010
129
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CORR
2012
Springer
13 years 10 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
115
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ICMLA
2010
15 years 8 days ago
2010
Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...
160
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AIIA
1995
Springer
15 years 5 months ago
1995
Springer
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
145
Voted
ASP
2001
Springer
15 years 6 months ago
2001
Springer
This paper presents a novel application of answer set programming to concept learning in nonmonotonic logic programs. Given an extended logic program as a background theory, we in...