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» Feature selection methods for text classification
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SIGIR
2010
ACM
14 years 11 months ago
SED: supervised experimental design and its application to text classification
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
Yi Zhen, Dit-Yan Yeung
EUSFLAT
2009
679views Fuzzy Logic» more  EUSFLAT 2009»
14 years 8 months ago
Combining Wavelets and Computational Intelligence Methods with Applications on Multi-class Classification Datasets
In this paper, we propose a novel algorithm for wavelet feature extraction as input to a supervised Multi-Class Classifier to improve classification performance. In particular, to ...
Carlos Campos Bracho
BMCBI
2011
14 years 2 months ago
BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs
Background: The identification of drug characteristics is a clinically important task, but it requires much expert knowledge and consumes substantial resources. We have developed ...
Frank P. Y. Lin, Stephen Anthony, Thomas M. Polase...
TNN
2010
154views Management» more  TNN 2010»
14 years 5 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
ACL
2006
15 years 4 days ago
Automatic Classification of Verbs in Biomedical Texts
away concepts from the surface form of the text. The authors argue that while there has been research into automatic classification, general classification schemes are unsuitable f...
Anna Korhonen, Yuval Krymolowski, Nigel Collier