114 search results - page 14 / 23 » Feature Subset Selection and Ranking for Data Dimensionality... |
105
Voted
SSPR
2004
Springer
15 years 5 months ago
2004
Springer
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
89
Voted
ICML
2009
IEEE
15 years 6 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
93
Voted
RSFDGRC
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
125
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AAAI
2010
15 years 1 months ago
2010
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
120
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PRL
2007
14 years 11 months ago
2007
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...