Deep learning of support vector machines with class probability output networks

DOI10.1016/j.neunet.2014.09.007zbMath1325.68191OpenAlexW1993301396WikidataQ45720994 ScholiaQ45720994MaRDI QIDQ890735

Zhibin Yu, Rhee Man Kil, Sang-Wook Kim, Min-Ho Lee

Publication date: 11 November 2015

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2014.09.007

zbMATH Keywords

support vector machineuncertainty measuredeep learningclass probability output network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

A new method for classifying random variables based on support vector machine

Uses Software

• UCI-ml
• LIBSVM
• AdaBoost.MH
• darch

Cites Work

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• Generalized Kuhn–Tucker Conditions for Mathematical Programming Problems in a Banach Space
• Convex Programming and Duality in Normed Space

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