Binary classifiers ensemble based on Bregman divergence for multi-class classification-Reference-Cited by-同舟云学术

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Binary classifiers ensemble based on Bregman divergence for multi-class classification

Published:2018-01 Issue: Volume:273 Page:424-434
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Takenouchi Takashi,Ishii Shin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

1. Reducing multiclass to binary: a unifying approach for margin classifiers;Allwein;J. Mach. Learn. Res.,2001

2. UCI Repository of Machine Learning Databases;Blake,1998

3. Libsvm: a library for support vector machines;Chang;ACM Trans. Intell. Syst. Technol.,2011

4. Generalized alpha-beta divergences and their application to robust nonnegative matrix factorization;Cichocki;Entropy,2011

5. On the algorithmic implementation of multiclass kernel-based vector machines;Crammer;J. Mach. Learn. Res.,2001

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