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» Learning and Inference with Constraints
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ECAI
2000
Springer
13 years 11 months ago
Extensions of Constraint Solving for Proof Planning
The integration of constraint solvers into proof planning has pushed the problem solving horizon. Proof planning benefits from the general functionalities of a constraint solver s...
Erica Melis, Jürgen Zimmer, Tobias Mülle...
ICTAI
2009
IEEE
14 years 2 months ago
Enhanced Inference for the Market Split Problem
Inference in constraint programming is usually based on the deductions generated by individual constraints which are then communicated to other constraints through domain filteri...
Tarik Hadzic, Eoin O'Mahony, Barry O'Sullivan, Mei...
CPAIOR
2008
Springer
13 years 9 months ago
The Accuracy of Search Heuristics: An Empirical Study on Knapsack Problems
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...
Daniel H. Leventhal, Meinolf Sellmann
AAAI
2000
13 years 8 months ago
Modeling Classification and Inference Learning
Human categorization research is dominated by work in classification learning. The field may be in danger of equating the classification learning paradigm with the more general ph...
Bradley C. Love, Arthur B. Markman, Takashi Yamauc...
JMLR
2010
119views more  JMLR 2010»
13 years 2 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun