COMPARATIVE STUDY OF THREE KERNEL PARAMETER OPTIMIZATION METHODS OF SUPPORT VECTOR MACHINES BASED ON PRACTICAL EXAMPLES

doi:10.18642/ijamml_7100121908

COMPARATIVE STUDY OF THREE KERNEL PARAMETER OPTIMIZATION METHODS OF SUPPORT VECTOR MACHINES BASED ON PRACTICAL EXAMPLES

International Journal of Applied Mathematics and Machine Learning ◽

10.18642/ijamml_7100121908 ◽

2017 ◽

Vol 7 (1-2) ◽

pp. 13-22

Keyword(s):

Support Vector Machines ◽

Comparative Study ◽

Parameter Optimization ◽

Optimization Methods ◽

Support Vector ◽

Kernel Parameter ◽

Vector Machines

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Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines

2018 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2018.8489383 ◽

2018 ◽

Cited By ~ 3

Author(s):

Ali Anaissi ◽

Ali Braytee ◽

Mohamad Naji

Keyword(s):

Support Vector Machines ◽

Parameter Optimization ◽

Gaussian Kernel ◽

Support Vector ◽

Kernel Parameter ◽

Vector Machines

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A Comparative Study on Fault Detection Using Twin Support Vector Machines for Wireless Sensor Networks

10.1007/978-981-16-0275-7_22 ◽

2021 ◽

pp. 261-273

Author(s):

Jyotsana Singh ◽

Ajay Singh Raghuvanshi ◽

Namrita Shukla ◽

Shashank Gavel

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Support Vector Machines ◽

Fault Detection ◽

Comparative Study ◽

Wireless Sensor ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

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An ACO-based algorithm for parameter optimization of support vector machines

Expert Systems with Applications ◽

10.1016/j.eswa.2010.03.067 ◽

2010 ◽

Vol 37 (9) ◽

pp. 6618-6628 ◽

Cited By ~ 98

Author(s):

XiaoLi Zhang ◽

XueFeng Chen ◽

ZhengJia He

Keyword(s):

Support Vector Machines ◽

Parameter Optimization ◽

Support Vector ◽

Vector Machines

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Self -adaptive parameter optimization approach for least squares support vector machines

2009 Chinese Control and Decision Conference ◽

10.1109/ccdc.2009.5192533 ◽

2009 ◽

Author(s):

Li Chun-xiang ◽

Zhang Wei-min ◽

Zhong Bi-liang

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Parameter Optimization ◽

Support Vector ◽

Optimization Approach ◽

Adaptive Parameter ◽

Vector Machines ◽

Self Adaptive

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Short-term fault prediction based on support vector machines with parameter optimization by evolution strategy

Expert Systems with Applications ◽

10.1016/j.eswa.2009.04.047 ◽

2009 ◽

Vol 36 (10) ◽

pp. 12383-12391 ◽

Cited By ~ 35

Author(s):

Shumin Hou ◽

Yourong Li

Keyword(s):

Support Vector Machines ◽

Parameter Optimization ◽

Evolution Strategy ◽

Fault Prediction ◽

Support Vector ◽

Short Term ◽

Vector Machines

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Revisiting probabilistic neural networks: a comparative study with support vector machines and the microhabitat suitability for the Eastern Iberian chub (Squalius valentinus)

Ecological Informatics ◽

10.1016/j.ecoinf.2017.10.008 ◽

2018 ◽

Vol 43 ◽

pp. 24-37 ◽

Cited By ~ 9

Author(s):

Rafael Muñoz-Mas ◽

Shinji Fukuda ◽

Javier Pórtoles ◽

Francisco Martínez-Capel

Keyword(s):

Neural Networks ◽

Support Vector Machines ◽

Comparative Study ◽

Support Vector ◽

Probabilistic Neural Networks ◽

Vector Machines ◽

Iberian Chub

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Comparative study of two uncertain support vector machines

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) ◽

10.1109/icaci.2012.6463192 ◽

2012 ◽

Cited By ~ 4

Author(s):

Hu Han ◽

Jianwu Dang ◽

Enen Ren

Keyword(s):

Support Vector Machines ◽

Comparative Study ◽

Support Vector ◽

Vector Machines

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Identification of Erythemato-Squamous Skin Diseases Using Support Vector Machines and Extreme Learning Machines: A Comparative Study towards Effective Diagnosis

Transactions on Machine Learning and Artificial Intelligence ◽

10.14738/tmlai.26.812 ◽

2014 ◽

Vol 2 (6) ◽

Cited By ~ 2

Author(s):

Sunday Olatunji ◽

Hossain Arif

Keyword(s):

Support Vector Machines ◽

Comparative Study ◽

Skin Diseases ◽

Support Vector ◽

Extreme Learning Machines ◽

Learning Machines ◽

Vector Machines ◽

Effective Diagnosis

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Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran

Journal of Irrigation and Drainage Engineering ◽

10.1061/(asce)ir.1943-4774.0001471 ◽

2020 ◽

Vol 146 (6) ◽

pp. 04020010 ◽

Cited By ~ 12

Author(s):

Afshin Ashrafzadeh ◽

Ozgur Kişi ◽

Pouya Aghelpour ◽

Seyed Mostafa Biazar ◽

Mohammadreza Askarizad Masouleh

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Comparative Study ◽

Support Vector ◽

Time Series Models ◽

Northern Iran ◽

Vector Machines

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Meta-analysis of deep neural networks in remote sensing: A comparative study of mono-temporal classification to support vector machines

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2019.04.016 ◽

2019 ◽

Vol 152 ◽

pp. 192-210 ◽

Cited By ~ 12

Author(s):

Shahriar S. Heydari ◽

Giorgos Mountrakis

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Support Vector Machines ◽

Comparative Study ◽

Deep Neural Networks ◽

Meta Analysis ◽

Support Vector ◽

Vector Machines

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