IEEE

Mean Decision Rules Method with Smart Sampling for Fast Large-Scale Binary SVM Classification

Abstract: This paper relies on the Mean Decision Rule (MDR) method for solving large-scale binary SVM problems. It consists in taking small random samples of the full dataset and separate training for ...
IEEE

Solving SVM inverse problems based on clustering

Abstract: Support vector machine (SVM) theory was originally developed on the basis of a linearly separable binary classification problem. The inverse problem of SVM is how to split a given dataset ...
Scientific Research Publishing

The Asymptotic Study of Smooth Entropy Support Vector Regression ()

In this paper, a novel formulation, smooth entropy support vector regression (SESVR), is proposed, which is a smooth unconstrained optimization reformulation of the traditional linear programming ...
Scientific Research Publishing

F. Chang, C. Y. Guo and X. R. Lin, “Tree Decomposition for Large-Scale SVM Problems ...

ABSTRACT: In this paper, a novel formulation, smooth entropy support vector regression (SESVR), is proposed, which is a smooth unconstrained optimization reformulation of the traditional linear ...
GitHub

Releases: Gengigq96/AI-ML-SVM-RF-Classification-Problems

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