Feature selection toolbox software package

Pattern Recognition Letters

Volumn 23, Issue 4, 2002, Pages 487-492

  Pudil, P ^a   Novovicova J ^a   Somol, P ^a  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

Author keywords

Feature selection; Floating search algorithms; Pattern recognition; Search methods

Indexed keywords

COMPUTER SOFTWARE; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

TOOLBOX SOFTWARE PACKAGE;

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 0036186686     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(01)00180-5     Document Type: Article

References (10)

1. Feature selection: Evaluation, application and small sample performance
2. Divergence based feature selection for multimodal class densities
3. Novel methods for subset selection with respect to problem knowledge
4. Floating search methods in feature selection
5. Feature selection based on the approximation of class densities by finite mixtures of special type
6. Oscillating search algorithms for feature selection
7. Feature selection toolbox as a multi-purpose tool in pattern recognition
8. Fast branch and bound algorithm in feature selection
9. Branch and bound algorithm with partial prediction for use with recursive and non-recursive criterion forms
10. Adaptive floating search methods in feature selection