A Maximum Class Distance Support Vector Machine-Based Algorithm for Recursive Dimension Reduction

Advances in Neural Networks – ISNN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01510-6_29 ◽

2009 ◽

pp. 251-258

Author(s):

Zheng Sun ◽

Xiaoguang Zhang ◽

Dianxu Ruan ◽

Guiyun Xu

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Support Vector

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Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification

2008 Seventh International Conference on Machine Learning and Applications ◽

10.1109/icmla.2008.120 ◽

2008 ◽

Author(s):

Bobbie-Jo M. Webb-Robertson ◽

Melissa M. Matzke ◽

Christopher S. Oehmen

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Unsupervised Learning ◽

Protein Family ◽

Support Vector ◽

Family Classification

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A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction

Journal of Intelligent Manufacturing ◽

10.1007/s10845-017-1388-1 ◽

2018 ◽

Vol 30 (5) ◽

pp. 2245-2256 ◽

Cited By ~ 26

Author(s):

Yun Bai ◽

Zhenzhong Sun ◽

Bo Zeng ◽

Jianyu Long ◽

Lin Li ◽

...

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Support Vector ◽

Quality Prediction ◽

Manufacturing Quality ◽

Reduction Techniques ◽

Machine Modeling ◽

Dimension Reduction Techniques

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Principal minimax support vector machine for sufficient dimension reduction with contaminated data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2015.06.011 ◽

2016 ◽

Vol 94 ◽

pp. 33-48 ◽

Cited By ~ 7

Author(s):

Jingke Zhou ◽

Lixing Zhu

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Support Vector ◽

Sufficient Dimension Reduction ◽

Contaminated Data

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Feature space dimension reduction in speech emotion recognition using support vector machine

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference ◽

10.1109/apsipa.2013.6694251 ◽

2013 ◽

Cited By ~ 9

Author(s):

Bo-Chang Chiou ◽

Chia-Ping Chen

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Emotion Recognition ◽

Space Dimension ◽

Feature Space ◽

Speech Emotion Recognition ◽

Support Vector

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Comparison of support vector machine classification to partial least squares dimension reduction with logistic descrimination of hyperspectral data

10.1117/12.463169 ◽

2003 ◽

Author(s):

Machelle Wilson ◽

Susan L. Ustin ◽

David Rocke

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Hyperspectral Data ◽

Support Vector ◽

Support Vector Machine Classification

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Sufficient dimension reduction via principal L$q$ support vector machine

Electronic Journal of Statistics ◽

10.1214/16-ejs1122 ◽

2016 ◽

Vol 10 (1) ◽

pp. 783-805 ◽

Cited By ~ 3

Author(s):

Andreas Artemiou ◽

Yuexiao Dong

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Support Vector ◽

Sufficient Dimension Reduction

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Dimension Reduction of Anthropometric Measurements with Support Vector Machine for Regression: Application to a French Military Personnel Database

Advances in Simulation and Digital Human Modeling - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-51064-0_38 ◽

2020 ◽

pp. 301-308

Author(s):

Pierre Puchaud ◽

Simon Kirchhofer ◽

Georges Dumont ◽

Nicolas Bideau ◽

Charles Pontonnier

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Military Personnel ◽

Anthropometric Measurements ◽

Support Vector ◽

French Military

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A study on imbalance support vector machine algorithms for sufficient dimension reduction

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2015.1048889 ◽

2016 ◽

Vol 46 (6) ◽

pp. 2751-2763 ◽

Cited By ~ 4

Author(s):

Luke Smallman ◽

Andreas Artemiou

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Support Vector ◽

Sufficient Dimension Reduction

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Dimension reduction based on a penalized kernel support vector machine model

Knowledge-Based Systems ◽

10.1016/j.knosys.2017.09.041 ◽

2017 ◽

Vol 138 ◽

pp. 79-90 ◽

Cited By ~ 5

Author(s):

He Jiang ◽

Yao Dong

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Support Vector Machine Model ◽

Support Vector ◽

Machine Model ◽

Kernel Support Vector Machine

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Least Squares-Support Vector Machine-Based Analysis of Near-Infrared Spectra with Techniques of Dimension Reduction and Parameter Optimization

2010 Symposium on Photonics and Optoelectronics ◽

10.1109/sopo.2010.5504082 ◽

2010 ◽

Author(s):

Dan Peng ◽

Gaihong Zhang ◽

Kaina Dong ◽

Xia Li

Keyword(s):

Support Vector Machine ◽

Dimension Reduction ◽

Least Squares ◽

Parameter Optimization ◽

Infrared Spectra ◽

Near Infrared ◽

Support Vector ◽

Near Infrared Spectra

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