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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 5 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
JCB
2000
101views more  JCB 2000»
15 years 1 months ago
Evaluation Measures of Multiple Sequence Alignments
Multiple sequence alignments (MSAs) are frequently used in the study of families of protein sequences or DNA/RNA sequences. They are a fundamental tool for the understanding of th...
Gaston H. Gonnet, Chantal Korostensky, Steven A. B...
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 1 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
DATE
2000
IEEE
130views Hardware» more  DATE 2000»
15 years 6 months ago
Optimal Hardware Pattern Generation for Functional BIST
∗∗ Functional BIST is a promising solution for self-testing complex digital systems at reduced costs in terms of area and performance degradation. The present paper addresses t...
Silvia Cataldo, Silvia Chiusano, Paolo Prinetto, H...
CEC
2008
IEEE
15 years 8 months ago
A novel co-evolutionary approach to automatic software bug fixing
— Many tasks in Software Engineering are very expensive, and that has led the investigation to how to automate them. In particular, Software Testing can take up to half of the re...
Andrea Arcuri, Xin Yao