170 search results - page 15 / 34 » Parameter Learning of Logic Programs for Symbolic-Statistica... |
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JMLR
2012
12 years 12 months ago
2012
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
ATMOS
2007
14 years 11 months ago
2007
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
CIA
2006
Springer
15 years 1 months ago
2006
Springer
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
98
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JMLR
2012
12 years 12 months ago
2012
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...