Fast instance selection for speeding up support vector machines

Knowledge-Based Systems ◽

10.1016/j.knosys.2013.01.031 ◽

2013 ◽

Vol 45 ◽

pp. 1-7 ◽

Author(s):

Jingnian Chen ◽

Caiming Zhang ◽

Xiaoping Xue ◽

Cheng-Lin Liu

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Instance Selection ◽

Vector Machines ◽

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An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles

IEEE Transactions on Evolutionary Computation ◽

10.1109/tevc.2017.2688863 ◽

2017 ◽

Vol 21 (6) ◽

pp. 863-877 ◽

Author(s):

Alejandro Rosales-Perez ◽

Salvador Garcia ◽

Jesus A. Gonzalez ◽

Carlos A. Coello Coello ◽

Francisco Herrera

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Instance Selection ◽

Vector Machines ◽

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A Competitive Learning Approach to Instance Selection for Support Vector Machines

Knowledge Science, Engineering and Management - Lecture Notes in Computer Science ◽

10.1007/978-3-642-10488-6_17 ◽

2009 ◽

pp. 146-157 ◽

Author(s):

Mario Zechner ◽

Michael Granitzer

Keyword(s):

Support Vector Machines ◽

Competitive Learning ◽

Support Vector ◽

Instance Selection ◽

Learning Approach ◽

Vector Machines ◽

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Efficient and Decision Boundary Aware Instance Selection for Support Vector Machines

Information Sciences ◽

10.1016/j.ins.2021.07.015 ◽

2021 ◽

Author(s):

Mohammad Aslani ◽

Stefan Seipel

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Instance Selection ◽

Decision Boundary ◽

Vector Machines ◽

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Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596450 ◽

2010 ◽

Author(s):

Davide Anguita ◽

Alessandro Ghio ◽

Noemi Greco ◽

Luca Oneto ◽

Sandro Ridella

Keyword(s):

Machine Learning ◽

Support Vector Machines ◽

Model Selection ◽

Learning Theory ◽

Support Vector ◽

Advantages And Disadvantages ◽

Vector Machines ◽

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Purity Filtering: An Instance Selection Method for Support Vector Machines

Lecture Notes in Computer Science - Artificial Intelligence XXXVI ◽

10.1007/978-3-030-34885-4_2 ◽

2019 ◽

pp. 21-35

Author(s):

David Morán-Pomés ◽

Lluís A. Belanche-Muñoz

Keyword(s):

Support Vector Machines ◽

Selection Method ◽

Support Vector ◽

Instance Selection ◽

Vector Machines

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Feature subset selection for support vector machines by incremental regularized risk minimization

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) ◽

10.1109/ijcnn.2004.1380930 ◽

2005 ◽

Author(s):

H. Frohlich ◽

A. Zell

Keyword(s):

Support Vector Machines ◽

Subset Selection ◽

Feature Subset Selection ◽

Support Vector ◽

Feature Subset ◽

Risk Minimization ◽

Vector Machines ◽

Selection For ◽

Regularized Risk Minimization

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Feature Selection for Support Vector Machines in Financial Time Series Forecasting

Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents - Lecture Notes in Computer Science ◽

10.1007/3-540-44491-2_38 ◽

2000 ◽

pp. 268-273 ◽

Author(s):

L. J. Cao ◽

Francis E. H. Tay

Keyword(s):

Time Series ◽

Feature Selection ◽

Support Vector Machines ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Financial Time ◽

Vector Machines ◽

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A multi-objective genetic algorithm for simultaneous model and feature selection for support vector machines

Artificial Intelligence Review ◽

10.1007/s10462-017-9543-9 ◽

2017 ◽

Vol 50 (2) ◽

pp. 261-281 ◽

Author(s):

Amal Bouraoui ◽

Salma Jamoussi ◽

Yassine BenAyed

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Support Vector Machines ◽

Support Vector ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Vector Machines ◽

Selection For ◽

Simultaneous Model

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Feature selection for support vector machines

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 ◽

10.1109/icpr.2000.906174 ◽

2002 ◽

Author(s):

L. Hermes ◽

J.M. Buhmann

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines ◽

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Gene selection for cancer classification using bootstrapped genetic algorithms and support vector machines

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003 ◽

10.1109/csb.2003.1227389 ◽

2004 ◽

Author(s):

X.-W. Chen

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Gene Selection ◽

Cancer Classification ◽

Support Vector ◽

Vector Machines ◽

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