This paper proposes a novel SVM-based instance selection method for reduced instance based learning. Support Vector Machine (SVM) is employed to form an ...

This paper proposes a novel SVM-based instance selection method for reduced instance based learning. Support Vector Machine. (SVM) is employed to form an ...

The result of the experiment shows decreased classification times for the novel method that are ranging from 0.6 to 0.8 of that of the standard approach ...

This paper proposes a novel SVM-based instance selection method for reduced instance based learning. Support Vector Machine (SVM) is employed to form an ...

This paper proposes a novel SVM-based instance selection method for reduced instance based learning. Support Vector Machine (SVM) is employed to form an ...

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers. Sign up for an account to ...

A new SVM-based PTFD decision framework is proposed in this paper which can significantly boost the training efficiency and ensure the accuracy.

Aug 14, 2023 · In this paper, we develop two SVM-based classifiers named stable nested one-class support vector machines (SN-1SVMs) and decoupled margin-moment based SVMs ( ...

This study presents a novel reduced classification method for instance-based learning based on the gray relational structure. Here, only some training instances ...

This paper proposes a novel classification method. Firstly, we use the deep neural network (DNN) to classify the training set.