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» Feature selection methods for text classification
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COLING
2008
13 years 8 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
TNN
2008
133views more  TNN 2008»
13 years 7 months ago
A General Wrapper Approach to Selection of Class-Dependent Features
In this paper, we argue that for a C-class classification problem, C 2-class classifiers, each of which discriminating one class from the other classes and having a characteristic ...
Lipo Wang, Nina Zhou, Feng Chu
JMLR
2010
182views more  JMLR 2010»
13 years 2 months ago
Quadratic Programming Feature Selection
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
Irene Rodriguez-Lujan, Ramón Huerta, Charle...
IBPRIA
2005
Springer
14 years 28 days ago
Extended Bi-gram Features in Text Categorization
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
Xian Zhang, Xiaoyan Zhu
PRIS
2008
13 years 8 months ago
Comparison of Adaboost and ADTboost for Feature Subset Selection
Abstract. This paper addresses the problem of feature selection within classification processes. We present a comparison of a feature subset selection with respect to two boosting ...
Martin Drauschke, Wolfgang Förstner