Adapting Multiple Kernel Parameters for Support Vector Machines using Genetic Algorithms

2005 IEEE Congress on Evolutionary Computation ◽

10.1109/cec.2005.1554741 ◽

2005 ◽

Cited By ~ 20

Author(s):

S.A. Rojas ◽

D. Fernandez-Reyes

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Support Vector ◽

Multiple Kernel ◽

Vector Machines ◽

Kernel Parameters

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Support vector machines and genetic algorithms for detecting unstable angina

Computers in Cardiology ◽

10.1109/cic.2002.1166797 ◽

2003 ◽

Cited By ~ 2

Author(s):

J. Sepulveda-Sanchis ◽

G. Camps-Valls ◽

E. Soria-Olivas ◽

S. Salcedo-Sanz ◽

C. Bousono-Calzon ◽

...

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Unstable Angina ◽

Support Vector ◽

Vector Machines

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Support Vector Machines and Genetic Algorithms for Soft-Sensing Modeling

Advances in Neural Networks – ISNN 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72395-0_42 ◽

2007 ◽

pp. 330-335 ◽

Cited By ~ 2

Author(s):

Sang Haifeng ◽

Yuan Weiqi ◽

Wang Fuli ◽

He Dakuo

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Support Vector ◽

Soft Sensing ◽

Vector Machines

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Finding an Optimal Combination of Key Training Items Using Genetic Algorithms and Support Vector Machines

Information Technology Journal ◽

10.3923/itj.2010.652.658 ◽

2010 ◽

Vol 9 (4) ◽

pp. 652-658 ◽

Cited By ~ 5

Author(s):

Chien-Che Huang ◽

Ruey-Gwo Chung ◽

Rong-Chang Chen ◽

Tung-Shou Chen ◽

Tzu-Ning Le ◽

...

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Optimal Combination ◽

Support Vector ◽

Vector Machines

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Natural Gas Load Forecasting using Fuzzy Sigmoid Kernel Support Vector Machines with Genetic Algorithms

2019 Chinese Automation Congress (CAC) ◽

10.1109/cac48633.2019.8997284 ◽

2019 ◽

Author(s):

Qiyun Liu ◽

Penglong Lian ◽

Han Liu

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Natural Gas ◽

Load Forecasting ◽

Support Vector ◽

Vector Machines ◽

Kernel Support Vector Machines

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06/00683 Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(06)80685-5 ◽

2006 ◽

Vol 47 (2) ◽

pp. 103

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines ◽

Electricity Load

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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 ◽

Cited By ~ 7

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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Modeling and Forecasting of High-Technology Manufacturing Labor Productivity Based on Grey Support Vector Machines with Genetic Algorithms

2006 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2006.258772 ◽

2006 ◽

Cited By ~ 2

Author(s):

Sheng Xu ◽

Hui-fang Zhao ◽

Jie Liu ◽

Xiang Sun

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Labor Productivity ◽

High Technology ◽

Support Vector ◽

Vector Machines ◽

Modeling And Forecasting

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False positive reduction for lung nodule CAD using support vector machines and genetic algorithms

International Congress Series ◽

10.1016/j.ics.2005.03.061 ◽

2005 ◽

Vol 1281 ◽

pp. 1109-1114 ◽

Cited By ~ 9

Author(s):

Luyin Zhao ◽

Lilla Boroczky ◽

K.P. Lee

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

False Positive ◽

Lung Nodule ◽

Support Vector ◽

False Positive Reduction ◽

Vector Machines

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Sparse Least Squares Support Vector Machines Based on Genetic Algorithms: A Feature Selection Approach

Advances in Computational Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20518-8_42 ◽

2019 ◽

pp. 500-511

Author(s):

Pedro Hericson Machado Araújo ◽

Ajalmar R. Rocha Neto

Keyword(s):

Genetic Algorithms ◽

Feature Selection ◽

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Vector Machines ◽

Selection Approach ◽

Feature Selection Approach

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Characterization of clustered microcalcifications in mammograms based on support vector machines with genetic algorithms

2006 International Symposium on Biophotonics, Nanophotonics and Metamaterials ◽

10.1109/metamat.2006.335011 ◽

2006 ◽

Author(s):

Chao Wang ◽

Wei Jiang ◽

Xifeng Dong

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines

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