This formulation of multi-class classification problem ever assigns a meaningful answer to every input and its architecture is more fault-tolerant than standard ...

This article introduces the “Support Vector Classification-Regression” machine for K-class classification purposes (K-SVCR), a new training algorithm with ...

A Multi-class Support Vector Machine. 35 considering all classes at once. The ... The K-SVCR algorithm, a novel learning machine based in SVMs for multi-.

A new multi-class classification SVM for the separable case, called K-SVCR, which ever assigns a meaningful answer to every input and its architecture is ...

Support Vector Machines for pattern recognition are addressed to binary classification problems. The problem of multi-class classification is typically ...

Nov 16, 2015 · Support Vectors (SV) are a machine learning procedure based on Vapnik's Statistical Learning Theory, initially defined for bi-classification ...

Mar 4, 2011 · In this article, we propose a new support vector algorithm, called ν-K-SVCR, for multi-class classification based on ν-support vector machine. ν ...

A multi-class support vector machine (M-SVM) is developed, its dual is derived, its dual is mapped to high dimensional feature spaces using inner product ...

Support vector machines (SVMs) for classification - in short SVC - have been shown to be promising classification tools in many real-world problems.

Sep 14, 2023 · This study incorporates fuzzy set theory into K-SVCR (support vector classification regression for K-class classification) and proposes a ...