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ICANN
2010
Springer
15 years 4 months ago
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
Sandra García, Ricardo Aler, Inés Ma...
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
16 years 7 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
BMCBI
2007
105views more  BMCBI 2007»
15 years 6 months ago
HoxPred: automated classification of Hox proteins using combinations of generalised profiles
Background: Correct identification of individual Hox proteins is an essential basis for their study in diverse research fields. Common methods to classify Hox proteins focus on th...
Morgane Thomas-Chollier, Luc Leyns, Valérie...
CVPR
2006
IEEE
16 years 8 months ago
Pursuing Informative Projection on Grassmann Manifold
Inspired by the underlying relationship between classification capability and the mutual information, in this paper, we first establish a quantitative model to describe the inform...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
ICML
2005
IEEE
16 years 7 months ago
Incomplete-data classification using logistic regression
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
David Williams, Xuejun Liao, Ya Xue, Lawrence Cari...