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ICPR
2008
IEEE
14 years 6 months ago
Fuzzy rule selection using Iterative Rule Learning for speech data classification
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi
EUSFLAT
2009
136views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Fuzzy Continuous Evaluation in Training Systems Based on Virtual Reality
The approach of continuous evaluation is an important tool in the learning process. However, only recently it was applied in training based on virtual reality. This paper presents ...
Ronei Moraes, Liliane Machado
ATAL
2006
Springer
13 years 7 months ago
Selecting informative actions improves cooperative multiagent learning
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
Liviu Panait, Sean Luke
EUSFLAT
2001
103views Fuzzy Logic» more  EUSFLAT 2001»
13 years 7 months ago
The importance of learning in fuzzy systems
One of the superior capabilities of fuzzy systems is that they can use the information expressed in a linguistic pattern. Though most fuzzy systems, have been formed to emulate hu...
Ahmad Lotfi
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 9 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood