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» Fuzzy LP-SVMs for Multiclass Problems
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ESANN
2004
13 years 6 months ago
Fuzzy LP-SVMs for Multiclass Problems
Abstract. In this paper, we propose fuzzy linear programming support vector machines (LP-SVMs) that resolve unclassifiable regions for multiclass problems. Namely, in the direction...
Shigeo Abe
CEC
2005
IEEE
13 years 6 months ago
COFRE: a fuzzy rule coevolutionary approach for multiclass classification problems
— This paper presents a technique for solving multiclass classification problems using a coevolutionary approach. There are m populations, where m is the number of classes. Indi...
Jonatan Gomez, Arturo Garcia, Camilo Silva
IJAR
2006
197views more  IJAR 2006»
13 years 4 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
IJCNN
2008
IEEE
13 years 11 months ago
Robust modular ARTMAP for multi-class shape recognition
— This paper presents a Fuzzy ARTMAP (FAM) based modular architecture for multi-class pattern recognition known as Modular Adaptive Resonance Theory Map (MARTMAP). The prediction...
Chue Poh Tan, Chen Change Loy, Weng-Kin Lai, Chee ...
FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
13 years 8 months ago
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...