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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...
JDA
2008
93views more  JDA 2008»
15 years 6 months ago
On-line scheduling of parallel jobs on two machines
We study the problem of on-line scheduling of parallel jobs on two machines. The jobs are parallel in the sense that each of them specifies the number of processors, in this case ...
Wun-Tat Chan, Francis Y. L. Chin, Deshi Ye, Guochu...
JMIV
2008
94views more  JMIV 2008»
15 years 6 months ago
Measuring Elongation from Shape Boundary
Abstract Shape elongation is one of the basic shape descriptors that has a very clear intuitive meaning. That is the reason for its applicability in many shape classification tasks...
Milos Stojmenovic, Jovisa D. Zunic
ML
2008
ACM
15 years 6 months ago
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns
Standard pattern discovery techniques, such as association rules, suffer an extreme risk of finding very large numbers of spurious patterns for many knowledge discovery tasks. The...
Geoffrey I. Webb
KBS
2006
150views more  KBS 2006»
15 years 6 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang