Adaptive Information-Theoretical Feature Selection for Pattern Classification

Studies in Computational Intelligence - Computational Intelligence ◽

10.1007/978-3-319-11271-8_18 ◽

2015 ◽

pp. 279-294

Author(s):

Liliya Avdiyenko ◽

Nils Bertschinger ◽

Juergen Jost

Keyword(s):

Feature Selection ◽

Pattern Classification ◽

Selection For

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Feature selection for pattern classification with Gaussian mixture models: A new objective criterion

Pattern Recognition Letters ◽

10.1016/0167-8655(96)00047-5 ◽

1996 ◽

Vol 17 (8) ◽

pp. 803-809 ◽

Cited By ~ 14

Author(s):

S. Krishnan ◽

K. Samudravijaya ◽

P.V.S. Rao

Keyword(s):

Feature Selection ◽

Mixture Models ◽

Pattern Classification ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Objective Criterion ◽

Selection For

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Activity Graph Feature Selection for Activity Pattern Classification

International Journal of Distributed Sensor Networks ◽

10.1155/2014/254256 ◽

2014 ◽

Vol 10 (4) ◽

pp. 254256

Author(s):

Kisung Park ◽

Yongkoo Han ◽

Young-Koo Lee

Keyword(s):

Feature Selection ◽

Pattern Classification ◽

Activity Pattern ◽

Selection For ◽

Activity Graph

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PARTICLE SWARM FEATURE SELECTION FOR FMRI PATTERN CLASSIFICATION

Proceedings of the International Conference on Bio-inspired Systems and Signal Processing ◽

10.5220/0001535102790284 ◽

2009 ◽

Keyword(s):

Feature Selection ◽

Pattern Classification ◽

Particle Swarm ◽

Selection For

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Adaptive Sequential Feature Selection for Pattern Classification

Proceedings of the 4th International Joint Conference on Computational Intelligence ◽

10.5220/0004146804740482 ◽

2012 ◽

Keyword(s):

Feature Selection ◽

Pattern Classification ◽

Sequential Feature Selection ◽

Selection For

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Feature selection for pattern classification problems

The Fourth International Conference onComputer and Information Technology, 2004. CIT '04. ◽

10.1109/cit.2004.1357202 ◽

2004 ◽

Cited By ~ 4

Author(s):

Li Zhang ◽

Gang Sun ◽

Jun Guo

Keyword(s):

Feature Selection ◽

Pattern Classification ◽

Classification Problems ◽

Selection For

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Binary Grey Wolf Optimizer based Feature Selection for Nucleolar and Centromere Staining Pattern Classification in Indirect Immunofluorescence Images

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2019.8856872 ◽

2019 ◽

Cited By ~ 1

Author(s):

Kanchana Devanathan ◽

Nagarajan Ganapathy ◽

Ramakrishnan Swaminathan

Keyword(s):

Feature Selection ◽

Pattern Classification ◽

Indirect Immunofluorescence ◽

Staining Pattern ◽

Grey Wolf Optimizer ◽

Grey Wolf ◽

Selection For

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FEATURE SELECTION FOR THE DETECTION OF EPILEPSY BY USING EEG PHYSIOLOGICAL SIGNAL

i-manager’s Journal on Pattern Recognition ◽

10.26634/jpr.4.2.13727 ◽

2017 ◽

Vol 4 (2) ◽

pp. 17

Author(s):

CHANDANI MANISHA ◽

KUMAR ARUN ◽

◽

Keyword(s):

Feature Selection ◽

Physiological Signal ◽

Selection For

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Chicken Algorithm Based Feature Selection For Arabic Information Searching System

10.36458/1253-000-033-015 ◽

2019 ◽

pp. 389

Author(s):

زينب عبدالأمير ◽

علياء كريم عبدالحسن

Keyword(s):

Feature Selection ◽

Information Searching ◽

Selection For

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Feature Selection for Gene Expression Data Analysis – A Review

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i5/pr2020695 ◽

2020 ◽

Vol 24 (5) ◽

pp. 6955-6964

Author(s):

Dr. Prema R

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Selection For

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An MRMR with mean score feature selection for ovarian cancer classification using joint analysis

International Journal of Pharma and Bio Sciences ◽

10.22376/ijpbs.2017.8.2.b495-504 ◽

2017 ◽

Vol 8 (2) ◽

Author(s):

M.ANI DHA ◽

DR.K.PREMA LATHA

Keyword(s):

Ovarian Cancer ◽

Feature Selection ◽

Cancer Classification ◽

Joint Analysis ◽

Selection For

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