Use of support vector machines with a parallel local search algorithm for data classification and feature selection

Expert Systems with Applications ◽

10.1016/j.eswa.2019.113133 ◽

2020 ◽

Vol 145 ◽

pp. 113133 ◽

Author(s):

Tunchan Cura

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Local Search ◽

Search Algorithm ◽

Data Classification ◽

Support Vector ◽

Local Search Algorithm ◽

Vector Machines

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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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Feature Selection and Parameter Optimization of Support Vector Machines Based on a Local Search Based Firefly Algorithm for Classification of Formulas in Traditional Chinese Medicine

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.2021eal2075 ◽

2021 ◽

Author(s):

Wen SHI ◽

Jianling LIU ◽

Jingyu ZHANG ◽

Yuran MEN ◽

Hongwei CHEN ◽

...

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Chinese Medicine ◽

Traditional Chinese Medicine ◽

Local Search ◽

Parameter Optimization ◽

Firefly Algorithm ◽

Support Vector ◽

Vector Machines

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A Novel Hybrid Genetic Local Search Algorithm for Feature Selection and Weighting with an Application in Strategic Decision Making in Innovation Management

SSRN Electronic Journal ◽

10.2139/ssrn.3518294 ◽

2017 ◽

Author(s):

Duygu Yilmaz Eroglu ◽

Kemal Kilic

Keyword(s):

Decision Making ◽

Feature Selection ◽

Local Search ◽

Search Algorithm ◽

Innovation Management ◽

Strategic Decision ◽

Strategic Decision Making ◽

Local Search Algorithm ◽

Genetic Local Search

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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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Minimax feature selection problem for constructing a classifier using support vector machines

Computational Mathematics and Mathematical Physics ◽

10.1134/s0965542510050143 ◽

2010 ◽

Vol 50 (5) ◽

pp. 917-925

Author(s):

Yu. V. Goncharov

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Selection Problem ◽

Support Vector ◽

Feature Selection Problem ◽

Vector Machines

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Radar Emitter Signal Recognition Based on Feature Selection and Support Vector Machines

Lecture Notes in Computer Science - Advances in Intelligent Computing ◽

10.1007/11538059_74 ◽

2005 ◽

pp. 707-716 ◽

Author(s):

Gexiang Zhang ◽

Zhexin Cao ◽

Yajun Gu ◽

Weidong Jin ◽

Laizhao Hu

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Support Vector ◽

Signal Recognition ◽

Vector Machines

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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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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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An automatic ECG arrhythmia diagnosis system using support vector machines optimised with GOA and entropy-based feature selection procedure

International Journal of Medical Engineering and Informatics ◽

10.1504/ijmei.2022.119309 ◽

2022 ◽

Vol 14 (1) ◽

pp. 52

Author(s):

Abdullah Jafari Chashmi ◽

Mehdi Chehel Amirani

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Selection Procedure ◽

Support Vector ◽

Diagnosis System ◽

Vector Machines ◽

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An automatic ECG arrhythmia diagnosis system using support vector machines optimised with GOA and entropy-based feature selection procedure

International Journal of Medical Engineering and Informatics ◽

10.1504/ijmei.2021.10035812 ◽

2021 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Abdullah Jafari Chashmi ◽

Mehdi Chehel Amirani

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Selection Procedure ◽

Support Vector ◽

Diagnosis System ◽

Vector Machines ◽

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