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» Relating complexity and precision in control flow analysis
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ICSM
1999
IEEE
13 years 11 months ago
A Two-Phase Process for Software Architecture Improvement
Software architecture is important for large systems in which it is the main means for, among other things, controlling complexity. Current ideas on software architectures were no...
René L. Krikhaar, André Postma, M. P...
ATAL
2010
Springer
13 years 8 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
JACM
2006
99views more  JACM 2006»
13 years 7 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
BMCBI
2004
122views more  BMCBI 2004»
13 years 7 months ago
A comprehensive comparison of comparative RNA structure prediction approaches
Background: An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, indep...
Paul P. Gardner, Robert Giegerich
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 1 months ago
Intransitivity revisited coevolutionary dynamics of numbers games
Relative fitness, or “evaluation by tests” is one of the building blocks of coevolution: the only fitness information available is a comparison with other individuals in a p...
Pablo Funes, Enrique Pujals