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GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 10 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 9 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
BMCBI
2010
133views more  BMCBI 2010»
15 years 4 months ago
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
JSS
2008
217views more  JSS 2008»
15 years 4 months ago
MUSEMBLE: A novel music retrieval system with automatic voice query transcription and reformulation
So far, many researches have been done to develop efficient music retrieval systems, and query-by-humming has been considered as one of the most intuitive and effective query meth...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 10 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass