In this paper, a non-balanced binary tree is proposed for extending support vector machines (SVM) to multi-class problems. The non-balanced binary tree is ...
Tree-Structured Support Vector Machines for Multi-class Pattern ...
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In this section we briefly review the basic ideas of support vector learning and present four multi-class classification techniques which may be applied to SVMs ...
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In this paper, we propose a hierarchical SVM framework for multiclass classification problems. Use of multiple SVMs in a hierarchical structure has been a ...
We propose a new technique for support vector machines (SVMs) in tree structures for multiclass classification. For each tree node, we select an appropriate ...
Support vector machines (SVM) are learning algorithms derived from statistical learning theory. The SVM approach was originally developed for binary ...
Nov 21, 2024 · In this paper, a non-balanced binary tree is proposed for extending support vector machines (SVM) to multi-class problems.
Aug 26, 2024 · This article explores the techniques used to adapt SVMs for multi-class tasks, the challenges involved, and how to implement multi-class SVMs using scikit- ...
Nov 5, 2018 · In this thesis we discuss different SVM methods for multiclass classification and introduce the Divide and Conquer Support Vector Machine (DCSVM) ...
In this paper, we propose a new and efficient tree-structured hierarchical SVM for multi-class classification, termed as GP-. SVM. We use partition function as ...
In this paper, we propose a decision tree twin support vector machine (DTTSVM) for multi-class classification. To realize our DTTSVM, there are two main ...