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...
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classiļ¬er System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
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...
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...
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 eļ¬cient than direct encodings for ...
Joseph Reisinger, Kenneth O. Stanley, Risto Miikku...