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» On Discriminative Semi-Supervised Classification
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NOLISP
2005
Springer
14 years 1 months ago
MLP Internal Representation as Discriminative Features for Improved Speaker Recognition
Feature projection by non-linear discriminant analysis (NLDA) can substantially increase classification performance. In automatic speech recognition (ASR) the projection provided b...
Dalei Wu, Andrew C. Morris, Jacques C. Koreman
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
14 years 1 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
PRL
2008
147views more  PRL 2008»
13 years 7 months ago
Deformations, patches, and discriminative models for automatic annotation of medical radiographs
In this paper, we describe three different methods for the classification and annotation of medical radiographs. The methods were applied in the medical image annotation tasks of ...
Thomas Deselaers, Hermann Ney
COLING
2010
13 years 2 months ago
Discriminative Training for Near-Synonym Substitution
Near-synonyms are useful knowledge resources for many natural language applications such as query expansion for information retrieval (IR) and paraphrasing for text generation. Ho...
Liang-Chih Yu, Hsiu-Min Shih, Yu-Ling Lai, Jui-Fen...
TNN
2010
154views Management» more  TNN 2010»
13 years 2 months ago
Discriminative semi-supervised feature selection via manifold regularization
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin