2914 search results - page 161 / 583 » Learning and Inference with Constraints |
271
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TOPLAS
2008
15 years 6 months ago
2008
lem of inferring termination from such abstract information is not the halting problem for programs and may well be decidable. If this is the case, the decision algorithm forms a &...
141
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
177
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AMAI
1999
Springer
15 years 6 months ago
1999
Springer
The paper focuses on evaluating constraint satisfaction search algorithms on application based random problem instances. The application we use is a well-studied problem in the el...
201
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
206
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ECML
2007
Springer
16 years 19 days ago
2007
Springer
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...