Novel Bayesian inference on optimal parameters of support vector machines and its application to industrial survey data classification

Neurocomputing ◽

10.1016/j.neucom.2015.12.132 ◽

2016 ◽

Vol 211 ◽

pp. 159-171 ◽

Author(s):

Jingjing Zhong ◽

Peter W. Tse ◽

Dong Wang

Keyword(s):

Bayesian Inference ◽

Support Vector Machines ◽

Survey Data ◽

Data Classification ◽

Support Vector ◽

Optimal Parameters ◽

Vector Machines

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Data Classification with Ensembles of One-Class Support Vector Machines and Sparse Nonnegative Matrix Factorization

Intelligent Information and Database Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-15702-3_51 ◽

2015 ◽

pp. 526-535 ◽

Author(s):

Bogusław Cyganek ◽

Bartosz Krawczyk

Keyword(s):

Support Vector Machines ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Data Classification ◽

Support Vector ◽

Vector Machines ◽

Sparse Nonnegative Matrix Factorization

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High dimensional data classification and feature selection using support vector machines

European Journal of Operational Research ◽

10.1016/j.ejor.2017.08.040 ◽

2018 ◽

Vol 265 (3) ◽

pp. 993-1004 ◽

Author(s):

Bissan Ghaddar ◽

Joe Naoum-Sawaya

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Support Vector ◽

Vector Machines

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Clustering support vector machines for unlabeled data classification

2009 International Conference on Test and Measurement ◽

10.1109/ictm.2009.5413037 ◽

2009 ◽

Author(s):

Juanying Xie ◽

Chunxia Wang ◽

Yan Zhang ◽

Shuai Jiang

Keyword(s):

Support Vector Machines ◽

Data Classification ◽

Unlabeled Data ◽

Support Vector ◽

Vector Machines

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Imbalanced data classification via support vector machines and genetic algorithms

Connection Science ◽

10.1080/09540091.2014.924902 ◽

2014 ◽

Vol 26 (4) ◽

pp. 335-348 ◽

Author(s):

Jair Cervantes ◽

Xiaoou Li ◽

Wen Yu

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Imbalanced Data ◽

Data Classification ◽

Support Vector ◽

Imbalanced Data Classification ◽

Vector Machines

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On Bayesian Inference, Maximum Entropy and Support Vector Machines Methods

10.1063/1.2423259 ◽

2006 ◽

Author(s):

Mihai Costache ◽

Marie Liénou ◽

Mihai Datcu

Keyword(s):

Bayesian Inference ◽

Support Vector Machines ◽

Maximum Entropy ◽

Support Vector ◽

Vector Machines

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A cascading support vector machines system for gene expression data classification

2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791) ◽

10.1109/is.2004.1344758 ◽

2004 ◽

Author(s):

D.K. Iakovidis ◽

I.N. Flaounas ◽

S.A. Karkanis ◽

D.E. Maroulis

Keyword(s):

Gene Expression ◽

Support Vector Machines ◽

Gene Expression Data ◽

Data Classification ◽

Support Vector ◽

Expression Data ◽

Vector Machines

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Support vector machines with genetic fuzzy feature transformation for biomedical data classification

Information Sciences ◽

10.1016/j.ins.2006.03.015 ◽

2007 ◽

Vol 177 (2) ◽

pp. 476-489 ◽

Author(s):

Bo Jin ◽

Y.C. Tang ◽

Yan-Qing Zhang

Keyword(s):

Support Vector Machines ◽

Data Classification ◽

Support Vector ◽

Biomedical Data ◽

Feature Transformation ◽

Vector Machines

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The Application of Problems Concerning the Imbalanced Data Classification by Means of Support Vector Machines

2011 Fourth International Symposium on Knowledge Acquisition and Modeling ◽

10.1109/kam.2011.84 ◽

2011 ◽

Author(s):

Chen Qing

Keyword(s):

Support Vector Machines ◽

Imbalanced Data ◽

Data Classification ◽

Support Vector ◽

Imbalanced Data Classification ◽

Vector Machines

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Support Vector Machines with Evolutionary Feature Weights Optimization for Biomedical Data Classification

NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society ◽

10.1109/nafips.2005.1548529 ◽

2005 ◽

Author(s):

Bo Jin ◽

Yan-Qing Zhang

Keyword(s):

Support Vector Machines ◽

Data Classification ◽

Support Vector ◽

Biomedical Data ◽

Feature Weights ◽

Vector Machines

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High-Dimensional Data Classification Based on Smooth Support Vector Machines

Procedia Computer Science ◽

10.1016/j.procs.2015.12.129 ◽

2015 ◽

Vol 72 ◽

pp. 477-484 ◽

Author(s):

Santi Wulan Purnami ◽

Shofi Andari ◽

Yuniati Dian Pertiwi

Keyword(s):

Support Vector Machines ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Support Vector ◽

Vector Machines

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