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DCC
2007
IEEE
16 years 6 months ago
Structure induction by lossless graph compression
This work is motivated by the necessity to automate the discovery of structure in vast and evergrowing collection of relational data commonly represented as graphs, for example ge...
Leonid Peshkin
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
16 years 1 months ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...
DEXAW
2008
IEEE
204views Database» more  DEXAW 2008»
16 years 1 months ago
Particle Swarm Optimization Using Adaptive Mutation
Two new variants of Particle Swarm Optimization (PSO) called AMPSO1 and AMPSO2 are proposed for global optimization problems. Both the algorithms use adaptive mutation using Beta ...
Millie Pant, Radha Thangaraj, Ajith Abraham
WCRE
2008
IEEE
16 years 1 months ago
Pitfalls in Aspect Mining
The research domain of aspect mining studies the problem of (semi-)automatically identifying potential aspects and crosscutting concerns in a software system, to improve the syste...
Kim Mens, Andy Kellens, Jens Krinke
ECML
2005
Springer
16 years 7 days ago
Active Learning in Partially Observable Markov Decision Processes
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
Robin Jaulmes, Joelle Pineau, Doina Precup