576 search results - page 7 / 116 » Combination of Feature Selection Methods for Text Categorisa... |
ISNN
2007
Springer
15 years 3 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...
PRIS
2004
14 years 10 months ago
2004
Abstract. The number of features to be considered in a text classification system is given by the size of the vocabulary and this is normally in the range of the tens or hundreds o...
90
Voted
GECCO
2010
Springer
15 years 22 days ago
2010
Springer
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
KDD
2002
ACM
15 years 9 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
EWCBR
2006
Springer
15 years 1 months ago
2006
Springer
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...