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KR
2000
Springer
15 years 7 months ago
Anytime Diagnostic Reasoning using Approximate Boolean Constraint Propagation
In contrast with classical reasoning, where a solution is either correct or incorrect, approximate reasoning tries to compute solutions which are close to the ideal solution, with...
Alan Verberne, Frank van Harmelen, Annette ten Tei...
AAMAS
2007
Springer
15 years 4 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
NIPS
2008
15 years 5 months ago
Mixed Membership Stochastic Blockmodels
Consider data consisting of pairwise measurements, such as presence or absence of links between pairs of objects. These data arise, for instance, in the analysis of protein intera...
Edoardo Airoldi, David M. Blei, Stephen E. Fienber...
IAT
2005
IEEE
15 years 10 months ago
An Approximate Pareto Optimal Cooperative Negotiation Model for Multiple
Cooperative negotiation is proved to be an effective paradigm to solve complex dynamic multi-objective problems in which each objective is associated to an agent. When the multi-o...
Nicola Gatti, Francesco Amigoni
FGCS
2007
92views more  FGCS 2007»
15 years 4 months ago
Optimizing Web Service messaging performance in mobile computing
— The performance and efficiency of Web Services can be greatly increased in conversational and streaming message exchanges by streaming the message exchange paradigm. In this pa...
Sangyoon Oh, Geoffrey Fox