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CORR
2010
Springer
14 years 9 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
68
Voted
ENGL
2007
14 years 9 months ago
2007
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
ICSE
2004
IEEE-ACM
15 years 9 months ago
2004
IEEE-ACM
Impact analysis -- determining the potential effects of changes on a software system -- plays an important role in software engineering tasks such as maintenance, regression testi...
ICDAR
2003
IEEE
15 years 2 months ago
2003
IEEE
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
83
Voted
EVOW
2004
Springer
15 years 3 months ago
2004
Springer
This paper describes a novel representation and ordering model that, aided by an evolutionary algorithm, is used in solving the graph k-colouring problem. Its strength lies in redu...