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IJON
2006
134views more  IJON 2006»
15 years 6 months ago
A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan...
JCST
2006
128views more  JCST 2006»
15 years 6 months ago
Multi-Instance Learning from Supervised View
Abstract In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. This pa...
Zhi-Hua Zhou
KES
2008
Springer
15 years 6 months ago
Reinforcing fuzzy rule-based diagnosis of turbomachines with case-based reasoning
This paper presents an integrated knowledge-based system, which combines fuzzy rule-based reasoning with case-based reasoning, for turbomachinery diagnosis. By incorporating a case...
Meijun Yang, Qiang Shen
JMLR
2006
123views more  JMLR 2006»
15 years 6 months ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
ENGL
2007
136views more  ENGL 2007»
15 years 6 months ago
Multilayered Evolutionary Architecture for Behaviour Arbitration in Cognitive Agents
— In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architectur...
Oscar Javier Romero López