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» Toward Optimal Feature Selection
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ICPR
2004
IEEE
16 years 3 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna
116
Voted
CEC
2010
IEEE
15 years 3 months ago
Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring
In orthodontics, retraction springs made of metallic wires are often used to move a tooth with respect to another by the virtue of the spring back effect. Specially selected form o...
Dudy Lim, Yew-Soon Ong, Rachman Setiawan, Muhammad...
127
Voted
PAMI
2010
185views more  PAMI 2010»
15 years 28 days ago
Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality
—Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning syst...
Petr Somol, Jana Novovicová
110
Voted
ECCV
2010
Springer
15 years 7 months ago
Towards Optimal Naive Bayes Nearest Neighbor
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
88
Voted
GECCO
2000
Springer
106views Optimization» more  GECCO 2000»
15 years 6 months ago
Multi-objective pattern and feature selection by a genetic algorithm
Hisao Ishibuchi, Tomoharu Nakashima