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» Evolutionary Computation for Modeling and Optimization
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GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
16 years 26 days ago
MILCS: a mutual information learning classifier system
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
Robert Elliott Smith, Max Kun Jiang
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
16 years 26 days ago
Fuzzy-UCS: preliminary results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
GECCO
2007
Springer
345views Optimization» more  GECCO 2007»
16 years 26 days ago
A novel approach to automatic music transcription using electronic synthesis and genetic algorithms
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and diļ...
Gustavo Reis, Francisco Fernández de Vega
NOLISP
2007
Springer
16 years 25 days ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
16 years 6 days ago
Towards an empirical measure of evolvability
Genetic representations that do not employ a one-to-one mapping of genotype to phenotype are known as indirect encodings, and can be much more efficient than direct encodings for ...
Joseph Reisinger, Kenneth O. Stanley, Risto Miikku...