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ECAI
2008
Springer
15 years 3 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
15 years 8 months ago
Adaptive Play Q-Learning with Initial Heuristic Approximation
Abstract— The problem of an effective coordination of multiple autonomous robots is one of the most important tasks of the modern robotics. In turn, it is well known that the lea...
Andriy Burkov, Brahim Chaib-draa
ICDT
2005
ACM
149views Database» more  ICDT 2005»
15 years 7 months ago
Approximately Dominating Representatives
We propose and investigate from the algorithmic standpoint a novel form of fuzzy query called approximately dominating representatives or ADRs. The ADRs of a multidimensional point...
Vladlen Koltun, Christos H. Papadimitriou
ISORC
2002
IEEE
15 years 6 months ago
Approximate Real-Time Clocks for Scheduled Events
This paper presents a simple protocol that provides application processes with an approximate real-time notion. This time notion is very versatile. At one extreme, it behaves at l...
Christof Fetzer, Michel Raynal
AAAI
2006
15 years 3 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht