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164
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AI
2010
Springer
15 years 3 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
121
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CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 3 months ago
Parameterizing by the Number of Numbers
The usefulness of parameterized algorithmics has often depended on what Niedermeier has called, "the art of problem parameterization." In this paper we introduce and expl...
Michael R. Fellows, Serge Gaspers, Frances A. Rosa...
AI
2010
Springer
15 years 3 months ago
Updating action domain descriptions
How can an intelligent agent update her knowledge base about an action domain, relative to some conditions (possibly obtained from earlier observations)? We study this question in...
Thomas Eiter, Esra Erdem, Michael Fink, Ján...
140
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TSP
2008
151views more  TSP 2008»
15 years 3 months ago
Convergence Analysis of Reweighted Sum-Product Algorithms
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
144
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MP
1998
136views more  MP 1998»
15 years 3 months ago
Minimum cost capacity installation for multicommodity network flows
Consider a directed graph G = (V;A), and a set of tra c demands to be shipped between pairs of nodes in V. Capacity has to be installed on the edges of this graph (in integer mult...
Daniel Bienstock, Sunil Chopra, Oktay Günl&uu...