8970 search results - page 346 / 1794 » Learning to Learn Causal Models |
182
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JMLR
2010
15 years 1 months ago
2010
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
192
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ACL
2000
15 years 8 months ago
2000
This paper introduces a statistical model for query-relevant summarization: succinctly characterizing the relevance of a document to a query. Learning parameter values for the pro...
180
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JMLR
2010
15 years 1 months ago
2010
In this paper, we consider the asymptotic form of the generalization error for the restricted Boltzmann machine in Bayesian estimation. It has been shown that obtaining the maximu...
164
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ALT
2006
Springer
16 years 3 months ago
2006
Springer
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
214
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HCW
1999
IEEE
15 years 11 months ago
1999
IEEE
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...