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» Boosting Distributed Constraint Satisfaction
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119
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CP
2006
Springer
15 years 6 months ago
Distributed Constraint-Based Local Search
Distributed computing is increasingly important at a time when the doubling of the number of transistors on a processor every 18 months no longer translates in a doubling of speed ...
Laurent Michel, Andrew See, Pascal Van Hentenryck
167
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JMLR
2012
13 years 5 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...
108
Voted
IDEAL
2003
Springer
15 years 7 months ago
Agent Compromises in Distributed Problem Solving
ERA is a multi-agent oriented method for solving constraint satisfaction problems [5]. In this method, agents make decisions based on the information obtained from their environmen...
Yi Tang, Jiming Liu, Xiaolong Jin
84
Voted
CORR
2010
Springer
69views Education» more  CORR 2010»
15 years 2 months ago
Efficient Knowledge Base Management in DCSP
DCSP (Distributed Constraint Satisfaction Problem) has been a very important research area in AI (Artificial Intelligence). There are many application problems in distributed AI t...
Hong Jiang
116
Voted
CP
2006
Springer
15 years 6 months ago
Boosting Open CSPs
In previous work, a new approach called Open CSP (OCSP) was defined as a way of integrate information gathering and problem solving. Instead of collecting all variable values befor...
Santiago Macho González, Carlos Ansó...