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» Modeling the Evolution of Decision Rules in the Human Brain
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SAB
2010
Springer
117views Optimization» more  SAB 2010»
13 years 4 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
LREC
2010
141views Education» more  LREC 2010»
13 years 7 months ago
Evaluating Semantic Relations and Distances in the Associative Concept Dictionary using NIRS-imaging
In this study, we extracted brain activities related to semantic relations and distances to improve the precision of distance calculation among concepts in the Associated Concept ...
Nao Tatsumi, Jun Okamoto, Shun Ishizaki
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
13 years 11 months ago
Evolution of Voronoi based fuzzy recurrent controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. Among the most successful methods to auto...
Carlos Kavka, Patricia Roggero, Marc Schoenauer
EUSFLAT
2003
115views Fuzzy Logic» more  EUSFLAT 2003»
13 years 7 months ago
A hierarchical fuzzy rule-based learning system based on an information theoretic
This paper proposes a new novel method for the online construction of a Hierarchical Fuzzy Rule Based System (FRBS) to accurately model a function while retaining a level of human...
Antony Waldock, Brian Carse, Chris Melhuish
EOR
2007
101views more  EOR 2007»
13 years 5 months ago
Comprehensible credit scoring models using rule extraction from support vector machines
In recent years, Support Vector Machines (SVMs) were successfully applied to a wide range of applications. Their good performance is achieved by an implicit non-linear transformat...
David Martens, Bart Baesens, Tony Van Gestel, Jan ...