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JMLR
2006
125views more  JMLR 2006»
15 years 6 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
CONCUR
2005
Springer
15 years 11 months ago
A Practical Application of Geometric Semantics to Static Analysis of Concurrent Programs
Abstract. In this paper we show how to compress efficiently the statespace of a concurrent system (here applied to a simple shared memory model, but this is no way limited to that ...
Eric Goubault, Emmanuel Haucourt
GPEM
2008
128views more  GPEM 2008»
15 years 6 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
CP
2010
Springer
15 years 4 months ago
Propagating the Bin Packing Constraint Using Linear Programming
The state-of-the-art global constraint for bin packing is due to Shaw. We compare two linear continuous relaxations of the bin packing problem, based on the DP-flow and Arc-flow ...
Hadrien Cambazard, Barry O'Sullivan
CCGRID
2008
IEEE
16 years 19 days ago
A Stochastic Programming Approach for QoS-Aware Service Composition
—We formulate the service composition problem as a multi-objective stochastic program which simultaneously optimizes the following quality of service (QoS) parameters: workflow ...
Wolfram Wiesemann, Ronald Hochreiter, Daniel Kuhn