Ultrasonographic feature selection and pattern classification for cervical lymph nodes using support vector machines

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2007.07.008 ◽

2007 ◽

Vol 88 (1) ◽

pp. 75-84 ◽

Author(s):

Junhua Zhang ◽

Yuanyuan Wang ◽

Yi Dong ◽

Yi Wang

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Lymph Nodes ◽

Pattern Classification ◽

Support Vector ◽

Cervical Lymph Nodes ◽

Vector Machines ◽

Ultrasonographic Feature

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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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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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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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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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DCA for Gaussian Kernel Support Vector Machines with Feature Selection

10.1007/978-3-030-92666-3_19 ◽

2021 ◽

pp. 223-234

Author(s):

Hoai An Le Thi ◽

Vinh Thanh Ho

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Gaussian Kernel ◽

Support Vector ◽

Vector Machines ◽

Kernel Support Vector Machines

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Feature Selection via l p -Norm Support Vector Machines

Advanced Information and Knowledge Processing - Optimization Based Data Mining: Theory and Applications ◽

10.1007/978-0-85729-504-0_6 ◽

2011 ◽

pp. 107-116

Author(s):

Yong Shi ◽

Yingjie Tian ◽

Gang Kou ◽

Yi Peng ◽

Jianping Li

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines

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Fuzzy Twin Support Vector Machines for Pattern Classification

Mathematical Programming and Game Theory for Decision Making - Statistical Science and Interdisciplinary Research ◽

10.1142/9789812813220_0009 ◽

2008 ◽

pp. 131-142 ◽

Author(s):

Reshma Khemchandani ◽

Jayadeva ◽

Suresh Chandra

Keyword(s):

Support Vector Machines ◽

Pattern Classification ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

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Raman Spectroscopy Using a Multiclass Extension of Fisher-Based Feature Selection Support Vector Machines (FFS-SVM) for Characterizing In-Vitro Apoptotic Cell Death Induced by Paclitaxel

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-319-09584-4_27 ◽

2014 ◽

pp. 306-323

Author(s):

Michael Fenn ◽

Mario Guarracino ◽

Jiaxing Pi ◽

Panos M. Pardalos

Keyword(s):

Raman Spectroscopy ◽

Feature Selection ◽

Support Vector Machines ◽

Apoptotic Cell ◽

Apoptotic Cell Death ◽

Support Vector ◽

Vector Machines

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