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有關 Support Vector Committee Machines. 的學術文章 | |
Committee machines - Tresp - 154 個引述 Support vector committee machines - Martinez - 9 個引述 Support vector machine: principles, parameters, and … - Gholami - 342 個引述 |
Support Vector Machine Committee for Classification
Springer
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Springer
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由 BY Sun 著作2004被引用 16 次 — In this paper the support vector machine committee is proposed. For a practical pattern recognition problem, usually numerous of features can be used to ...
Support Vector Committee Machines 1. Introduction 2. ...
esann
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由 D Martinez 著作被引用 9 次 — Abstract. This paper proposes a mathematical programming frame- w ork for combining SVMs with possibly different kernels. Compared to.
Support vector machine
Wikipedia
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Wikipedia
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Support vector machines (SVMs, also support vector networks [1] ) are supervised max-margin models with associated learning algorithms that analyze data
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Evolving Committees of Support Vector Machines
Springer
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Springer
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由 D Valincius 著作2007被引用 2 次 — The main emphasis of the technique developed in this work for evolving committees of support vector machines (SVM) is on a two phase procedure to select ...
Support vector machines committee classification method ...
ScienceDirect.com
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ScienceDirect.com
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由 AK Jerebko 著作2005被引用 80 次 — A new classification scheme for the computer-aided detection of colonic polyps in computed tomographic colonography is proposed.
Support vector machines committee classification method ...
ResearchGate
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ResearchGate
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2024年10月22日 — The scheme involves an ensemble of support vector machines (SVMs) for classification, a smoothed leave-one-out (SLOO) cross-validation method ...
Support vector machines committee classification method ...
National Institutes of Health (NIH) (.gov)
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National Institutes of Health (NIH) (.gov)
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由 AK Jerebko 著作2005被引用 80 次 — Rationale and objectives: A new classification scheme for the computer-aided detection of colonic polyps in computed tomographic colonography is proposed.
Support Vector Machines
Sage Journals
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Sage Journals
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由 N Guenther 著作2016被引用 251 次 — Abstract. Support vector machines are statistical- and machine-learning tech- niques with the primary goal of prediction. They can be applied to continuous,.
A SVM-Based committee machine for prediction of Hong ...
IEEE Xplore
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IEEE Xplore
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由 WC Chung 著作2017被引用 16 次 — This study proposes a novel approach to predict the horse racing results in Hong Kong. A three-years-long race records dataset obtained from Hong Kong Jockey ...