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UAI
1998
13 years 6 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
ATAL
1997
Springer
13 years 9 months ago
Approximate Reasoning about Combined Knowledge
Abstract. Just as cooperation in multi-agent systems is a central issue for solving complex tasks, so too is the ability for an intelligent agent to reason about combined knowledge...
Frédéric Koriche
SIROCCO
2008
13 years 6 months ago
Computing Approximate Nash Equilibria in Network Congestion Games
We consider the problem of computing -approximate Nash equilibria in network congestion games. The general problem is known to be PLS-complete for every > 0, but the reductions...
Andreas Emil Feldmann, Heiko Röglin, Berthold...
ECAI
2008
Springer
13 years 7 months ago
Towards Efficient Belief Update for Planning-Based Web Service Composition
At the "functional level", Semantic Web Services (SWS) are described akin to planning operators, with preconditions and effects relative to an ontology; the ontology prov...
Jörg Hoffmann
APLAS
2009
ACM
13 years 11 months ago
Asymptotic Resource Usage Bounds
When describing the resource usage of a program, it is usual to talk in asymptotic terms, such as the well-known “big O” notation, whereby we focus on the behaviour of the prog...
Elvira Albert, Diego Alonso, Puri Arenas, Samir Ge...