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» Feature selection with nonparametric statistics
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ICML
1997
IEEE
13 years 11 months ago
A Comparative Study on Feature Selection in Text Categorization
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
Yiming Yang, Jan O. Pedersen
ICML
1994
IEEE
13 years 11 months ago
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
David B. Skalak
PR
2008
131views more  PR 2008»
13 years 7 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
IEAAIE
2003
Springer
14 years 18 days ago
Fast Feature Selection by Means of Projections
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
Roberto Ruiz, José Cristóbal Riquelm...
ICPR
2006
IEEE
14 years 1 months ago
Note on Feature Selection for Polyp Detection in CT Colonography
In this paper we describe a computer aided detection (CAD) algorithm for robust detection of polyps in computed tomography (CT) colonography. The devised algorithm identifies sus...
Tarik A. Chowdhury, Ovidiu Ghita, Paul F. Whelan, ...