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Feature selection
Known as:
Feature selection problem
, Input selection
, Feature subset selection
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In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the…
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Related topics
Related topics
50 relations
Ant colony optimization algorithms
Augmented Lagrangian method
Autoencoder
Bayesian information criterion
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Broader (1)
Model selection
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Improving LBP features for gender classification
Yuchun Fang
,
Zhan Wang
International Conference on Wavelet Analysis and…
2008
Corpus ID: 20594136
Automatic gender classification aims at analyzing the face image to recognize gender with computer, in which feature extraction…
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Highly Cited
2005
Highly Cited
2005
Automatic Time Expression Labeling for English and Chinese Text
K. Hacioglu
,
Ying Chen
,
Benjamin Douglas
Conference on Intelligent Text Processing and…
2005
Corpus ID: 211611
In this paper, we describe systems for automatic labeling of time expressions occurring in English and Chinese text as specified…
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Highly Cited
2005
Highly Cited
2005
Analyzing Behavioral Features for Email Classification
Steve Martin
,
B. Nelson
,
A. Sewani
,
K. Chen
,
A. Joseph
International Conference on Email and Anti-Spam
2005
Corpus ID: 5788556
Many researchers have applied statistical analysis techniques to email for classification purposes, such as identifying spam…
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Highly Cited
2004
Highly Cited
2004
Improved support vector classification using PCA and ICA feature space modification
J. Fortuna
,
D. Capson
Pattern Recognition
2004
Corpus ID: 26661914
Highly Cited
2003
Highly Cited
2003
Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection
U. Norinder
Neurocomputing
2003
Corpus ID: 2575344
Highly Cited
1999
Highly Cited
1999
Development and Validation of a Novel Variable Selection Technique with Application to Multidimensional Quantitative Structure-Activity Relationship Studies
C. Waller
,
M. Bradley
Journal of chemical information and computer…
1999
Corpus ID: 206888477
Variable selection is typically a time-consuming and ambiguous procedure in performing quantitative structure−activity…
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Highly Cited
1999
Highly Cited
1999
A New Efficient Approach for Variable Selection Based on Multiregression: Prediction of Gas Chromatographic Retention Times and Response Factors
Bono Lui
,
N. Trinajstic
,
S. Sild
,
M. Karelson
,
A. Katritzky
Journal of chemical information and computer…
1999
Corpus ID: 15112640
The selection of the most relevant variable is a frequent problem in the analysis of chemical data, especially now considering…
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Highly Cited
1992
Highly Cited
1992
A branch and bound algorithm for the maximum clique problem
P. Pardalos
,
G. P. Rodgers
Computers & Operations Research
1992
Corpus ID: 29260498
Highly Cited
1990
Highly Cited
1990
Automated design of linear tree classifiers
Youngtae Park
,
J. Sklansky
Pattern Recognition
1990
Corpus ID: 5492789
Review
1977
Review
1977
Computational Techniques in the Visual Segmentation of Static Scenes.
E. Riseman
,
M. Arbib
1977
Corpus ID: 62760738
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