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» Probabilistic Algorithms in Robotics
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UAI
1997
15 years 8 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
192
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DAGM
2007
Springer
15 years 10 months ago
Efficient Learning of Neural Networks with Evolutionary Algorithms
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
Nils T. Siebel, Jochen Krause, Gerald Sommer
212
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PODC
2009
ACM
16 years 7 months ago
Distributed and parallel algorithms for weighted vertex cover and other covering problems
The paper presents distributed and parallel -approximation algorithms for covering problems, where is the maximum number of variables on which any constraint depends (for example...
Christos Koufogiannakis, Neal E. Young
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
16 years 1 months ago
Analysis of evolutionary algorithms for the longest common subsequence problem
In the longest common subsequence problem the task is to find the longest sequence of letters that can be found as subsequence in all members of a given finite set of sequences....
Thomas Jansen, Dennis Weyland
AINTEC
2005
Springer
16 years 12 days ago
On the Stability of Server Selection Algorithms Against Network Fluctuations
Abstract. When a set of servers are available for a certain client-server style service, a client selects one of the servers using some server selection algorithm. The best-server ...
Toshiyuki Miyachi, Kenjiro Cho, Yoichi Shinoda