27 search results - page 1 / 6 » A Probabilistic Approach to Feature Selection for Multi-clas... |
ISNN
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. In this paper, we propose a probabilistic approach to feature selection for multi-class text categorization. Specifically, we regard document class and occurrence of eac...
SIGIR
2003
ACM
13 years 9 months ago
2003
ACM
A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
SAC
2006
ACM
13 years 10 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
TAL
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
AUSDM
2006
Springer
13 years 8 months ago
2006
Springer
Feature Filtering is an approach that is widely used for dimensionality reduction in text categorization. In this approach feature scoring methods are used to evaluate features le...