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KAIS
2006
121views more  KAIS 2006»
13 years 7 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara
ISCI
2008
137views more  ISCI 2008»
13 years 7 months ago
Stochastic dominance-based rough set model for ordinal classification
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
Wojciech Kotlowski, Krzysztof Dembczynski, Salvato...
CEC
2005
IEEE
13 years 9 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
GCB
2003
Springer
164views Biometrics» more  GCB 2003»
14 years 21 days ago
Integrative machine learning approach for multi-class SCOP protein fold classification
: Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP ...
Aik Choon Tan, David Gilbert, Yves Deville
BMCBI
2011
13 years 2 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...