2512 search results - page 218 / 503 » Learning from Highly Structured Data by Decomposition |
148
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PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
245
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ICLP
2009
Springer
16 years 5 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 ...
166
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BIBM
2009
IEEE
15 years 2 months ago
2009
IEEE
Abstract--Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully au...
147
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DAGSTUHL
2007
15 years 6 months ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
CIKM
2007
Springer
15 years 10 months ago
2007
Springer
Berners-Lee’s compelling vision of a Semantic Web is hindered by a chicken-and-egg problem, which can be best solved by a bootstrapping method — creating enough structured dat...