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JMLR
2012
11 years 10 months ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
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 ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
CP
2009
Springer
14 years 8 months ago
Asynchronous Inter-Level Forward-Checking for DisCSPs
We propose two new asynchronous algorithms for solving Distributed Constraint Satisfaction Problems (DisCSPs). The first algorithm, AFC-ng, is a nogood-based version of Asynchronou...
Redouane Ezzahir, Christian Bessiere, Mohamed Wahb...
EMO
2009
Springer
174views Optimization» more  EMO 2009»
14 years 2 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
SAC
2008
ACM
13 years 7 months ago
Supporting self-organization for hybrid grid resource scheduling
Increasing scale, dynamism, and complexity of hybrid grids make traditional grid resource scheduling approaches difficult. In such grids, where resource volatility and dynamism is...
Deger Cenk Erdil, Michael J. Lewis
ECAI
2008
Springer
13 years 9 months ago
A Decomposition Technique for Max-CSP
The objective of the Maximal Constraint Satisfaction Problem (Max-CSP) is to find an instantiation which minimizes the number of constraint violations in a constraint network. In t...
Hachemi Bennaceur, Christophe Lecoutre, Olivier Ro...