527 search results - page 19 / 106 » A Framework of Feature Selection Methods for Text Categoriza... |
ACIVS
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we consider an object categorization system using local HMAX features. Two feature matching techniques are compared: the MAX technique, originally proposed in the HMA...
PRIS
2004
13 years 8 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...
NAACL
2007
13 years 8 months ago
2007
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
KDD
2002
ACM
14 years 7 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
13 years 11 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...