AUSDM
2008
Springer
13 years 7 months ago
2008
Springer
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
CIKM
2006
Springer
13 years 8 months ago
2006
Springer
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
ISMIS
2003
Springer
13 years 10 months ago
2003
Springer
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...
ICPR
2006
IEEE
13 years 11 months ago
2006
IEEE
We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forw...
WEBI
2009
Springer
13 years 11 months ago
2009
Springer
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
AI
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we present an empirical comparison of the effects of category skew on six feature selection methods. The methods were evaluated on 36 datasets generated from the 20...
ACIVS
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
We report on the successful application of feature selection methods to a classification problem in molecular biology involving only 72 data points in a 7130 dimensional space. Ou...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...