In this paper, we proposed a regular simplex support vector machine (RSSVM) for K-class classification from an absolutely novel perspective. RSSVM first maps ...
Numerical experiments indicated that our proposed RSSVM not only demonstrated excellent sparseness but also superior overall accuracy, efficiency, and ...
In this work, from an absolutely novel perspective, we proposed a regular simplex support vector machine (RSSVM) for the K-class classification.
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Discover more about: Support Vector Machine. Article. A novel perspective on multiclass classification: Regular simplex support vector machine. December 2018 ...
“A novel perspective on multiclass classification: Regular simplex support vector machine”. (Tang Long, Tian Yingjie, Panos M. Pardalos) Information Sciences ...
A novel perspective on multiclass classification: Regular simplex support vector machine · Long TangYing-jie TianP. Pardalos. Computer Science, Mathematics.
Tang, A novel perspective on multiclass classification: regular simplex support vector machine, Inform. Sci., № 480, с. 324 https://doi.org/10.1016/j.ins ...
Jun 21, 2021 · In this paper, we propose a least squares version of K-SVCR named LSK-SVCR. Similarly to the K-SVCR algorithm, this method assesses all the training data into ...
A novel perspective on multiclass classification: Regular simplex support vector machine · Computer Science, Mathematics. Inf. Sci. · 2019.
In this paper we discuss a novel framework for multiclass learning, defined by a suitable coding/decoding strategy, namely the simplex coding, ...