Showing results for Traffic Classification based on Adjustable Convex-hull Support Vector Machines
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The feasibility to remove the useless vectors through a sequential method to accelerate training speed when dealing with large scale data is discussed.
Support Vector Machine (SVM) is a useful classification tool which is able to overcome the traditional bottleneck. The main disadvantage of SVM algorithms ...
Missing: hull | Show results with:hull
In this paper, a real-time accurate SVM training model named SPP-SVM is proposed. An SPP-SVM is deducted from the scaling dataset and employs principal ...
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Traffic Classification based on Adjustable Convex-hull Support Vector Machines ... This paper studies the application of Support Vector Machine in traffic ...
Jun 18, 2020 ¡¤ Online support vector machine (SVM) is an effective learning method in real-time network traffic classification tasks.
Abstract. Online support vector machine (SVM) is an effective learning method in real-time network traffic classification tasks.
Missing: Adjustable | Show results with:Adjustable
A novel algorithm for adaptive learning of a Limit State Function (LSF) is proposed, using Support Vector Machines (SVMs).
ABSTRACT Support vector machine (SVM) achieves successful classification performance with the application in non-coding RNA (ncRNA) data.
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good ...
Missing: Traffic | Show results with:Traffic