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CEC
2007
IEEE
15 years 6 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
SAC
2009
ACM
16 years 23 days ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
METRICS
2003
IEEE
15 years 11 months ago
Metrology, Measurement and Metrics in Software Engineering
Up until recently software 'metrics' have been most often proposed as the quantitative tools of choice in software engineering, and the analysis of these had been most o...
Alain Abran, Asma Sellami, Witold Suryn
IJCAI
1989
15 years 7 months ago
Generating Facts From Opinions with Information Source Models
This paper describes an attempt to model the method of generating a fact from the opinions of other persons or of institutions as a process which is based on knowledge about these...
Martin Thost
SGAI
2005
Springer
15 years 11 months ago
Experience with Ripple-Down Rules
Ripple-Down Rules (RDR) is an approach to building knowledgebased systems (KBS) incrementally, while the KBS is in routine use. Domain experts build rules as a minor extension to ...
Paul Compton, Lindsay Peters, Glenn Edwards, Tim G...