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GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
15 years 9 months ago
A specification-based fitness function for evolutionary testing of object-oriented programs
Encapsulation of states in object-oriented programs hinders the search for test data using evolutionary testing. As client code is oblivious to the internal state of a server obje...
Yoonsik Cheon, Myoung Kim
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 9 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 9 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
SIGMOD
1995
ACM
88views Database» more  SIGMOD 1995»
15 years 9 months ago
Semantic Assumptions and Query Evaluation in Temporal Databases
When querying a temporal database, a user often makes certain semantic assumptions on stored temporal data. This paper formalizes and studies two types of semantic assumptions: po...
Claudio Bettini, Xiaoyang Sean Wang, Elisa Bertino...
AAAI
2007
15 years 8 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen