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» Extraction of Symbolic Rules from Artificial Neural Networks
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GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
14 years 1 months 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
ISMIR
2004
Springer
204views Music» more  ISMIR 2004»
14 years 26 days ago
Automatic Genre Classification Using Large High-Level Musical Feature Sets
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
Cory McKay, Ichiro Fujinaga
ICTAI
2007
IEEE
14 years 1 months ago
A Music Information Retrieval Approach Based on Power Laws
We present a music information retrieval approach based on power laws. Research in cognitive science and neuroscience reveals connections between power laws, human cognition, and ...
Patrick Roos, Bill Z. Manaris
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
13 years 5 months ago
Single step evolution of robot controllers for sequential tasks
The generation of robot controllers for a task requiring a sequence of elementary behaviors is still a challenge. If these behaviors are known, intermediate steps can be given to ...
Stéphane Doncieux, Jean-Baptiste Mouret
SETN
2004
Springer
14 years 26 days ago
Computationally Intelligent Methods for Mining 3D Medical Images
We present novel intelligent tools for mining 3D medical images. We focus on detecting discriminative Regions of Interest (ROIs) and mining associations between their spatial distr...
Despina Kontos, Vasileios Megalooikonomou, Fillia ...