5109 search results - page 157 / 1022 » On Learning Limiting Programs |
146
Voted
AAAI
2006
15 years 6 months ago
2006
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
145
Voted
C5
2006
IEEE
15 years 11 months ago
2006
IEEE
1 Creating one’s own games has been the main motivation for many people to learn programming. But the barrier to learn a general purpose programming language is very high, espec...
128
Voted
GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
256
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SIAMIS
2010
14 years 12 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
159
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CPAIOR
2008
Springer
15 years 6 months ago
2008
Springer
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...