Optimizing the kernel selection for support vector machines using performance measures

Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India - A2CWiC '10 ◽

10.1145/1858378.1858386 ◽

2010 ◽

Cited By ~ 2

Author(s):

R. Sangeetha ◽

B. Kalpana

Keyword(s):

Support Vector Machines ◽

Performance Measures ◽

Support Vector ◽

Kernel Selection ◽

Vector Machines ◽

Selection For

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A meta-learning approach to automatic kernel selection for support vector machines

Neurocomputing ◽

10.1016/j.neucom.2006.03.004 ◽

2006 ◽

Vol 70 (1-3) ◽

pp. 173-186 ◽

Cited By ~ 69

Author(s):

Shawkat Ali ◽

Kate A. Smith-Miles

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Learning Approach ◽

Kernel Selection ◽

Vector Machines ◽

Meta Learning ◽

Selection For

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Kernel Selection for Support Vector Machines for System Identification of a CNC Machining Center

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2019.12.643 ◽

2019 ◽

Vol 52 (29) ◽

pp. 192-198

Author(s):

Muzaffer Ay ◽

David Stenger ◽

Max Schwenzer ◽

Dirk Abel ◽

Thomas Bergs

Keyword(s):

Support Vector Machines ◽

System Identification ◽

Cnc Machining ◽

Support Vector ◽

Machining Center ◽

Kernel Selection ◽

Vector Machines ◽

Selection For ◽

Cnc Machining Center

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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 ◽

Cited By ~ 19

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 ◽

Selection For

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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 ◽

Cited By ~ 5

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 ◽

Cited By ~ 5

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 ◽

Selection For

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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 ◽

Cited By ~ 10

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 ◽

Cited By ~ 27

Author(s):

L. Hermes ◽

J.M. Buhmann

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines ◽

Selection For

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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 ◽

Cited By ~ 23

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 ◽

Selection For

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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 ◽

Cited By ~ 16

Author(s):

X.-W. Chen

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Gene Selection ◽

Cancer Classification ◽

Support Vector ◽

Vector Machines ◽

Selection For

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Cost-based feature selection for Support Vector Machines: An application in credit scoring

European Journal of Operational Research ◽

10.1016/j.ejor.2017.02.037 ◽

2017 ◽

Vol 261 (2) ◽

pp. 656-665 ◽

Cited By ~ 46

Author(s):

Sebastián Maldonado ◽

Juan Pérez ◽

Cristián Bravo

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Credit Scoring ◽

Support Vector ◽

Vector Machines ◽

Selection For

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