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ECAI
2006
Springer
13 years 11 months ago
Meta-Typicalness Approach to Reliable Classification
We propose a meta-typicalness approach to apply the typicalness framework for any type of classifiers. The approach can be used to construct classifiers with specified classificati...
Evgueni N. Smirnov, Stijn Vanderlooy, Ida G. Sprin...
GECCO
2006
Springer
13 years 11 months ago
MOGE: GP classification problem decomposition using multi-objective optimization
A novel approach to classification is proposed in which a Paretobased ranking of individuals is used to encourage multiple individuals to participate in the solution. To do so, th...
Andrew R. McIntyre, Malcolm I. Heywood
JCISD
2006
114views more  JCISD 2006»
13 years 7 months ago
Ensemble of Linear Models for Predicting Drug Properties
We propose a new classification method for prediction of drug properties, called the Random Feature Subset Boosting for Linear Discriminant Analysis (LDA). The main novelty of this...
Tomasz Arodz, David A. Yuen, Arkadiusz Z. Dudek
ICPR
2006
IEEE
14 years 8 months ago
Supervised Image Classification by SOM Activity Map Comparison
This article presents a method aiming at quantifying the visual similarity between two images. This kind of problem is recurrent in many applications such as object recognition, i...
Grégoire Lefebvre, Christophe Laurent, Juli...
IJISTA
2007
124views more  IJISTA 2007»
13 years 7 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...