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GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 11 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
RECOMB
2006
Springer
16 years 6 months ago
Algorithms to Distinguish the Role of Gene-Conversion from Single-Crossover Recombination in the Derivation of SNP Sequences in
Meiotic recombination is a fundamental biological event and one of the principal evolutionary forces responsible for shaping genetic variation within species. In addition to its fu...
Yun S. Song, Zhihong Ding, Dan Gusfield, Charles H...
175
Voted
BMCBI
2007
142views more  BMCBI 2007»
15 years 5 months ago
SABERTOOTH: protein structural alignment based on a vectorial structure representation
Background: The task of computing highly accurate structural alignments of proteins in very short computation time is still challenging. This is partly due to the complexity of pr...
Florian Teichert, Ugo Bastolla, Markus Porto
ICML
2003
IEEE
16 years 6 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
EVOW
2010
Springer
16 years 13 days ago
Search-Based Procedural Content Generation
Recently, a small number of papers have appeared in which the authors implement stochastic search algorithms, such as evolutionary computation, to generate game content, such as le...
Julian Togelius, Georgios N. Yannakakis, Kenneth O...