Support Vector Machine Implementations for Classification & Clustering
Background We describe Support Vector Machine (SVM) applications to classification and clustering of channel current data. SVMs are variational-calculus based methods that are constrained to have structural risk minimization (SRM), i.e., they provide ...
Winters-Hilt Stephen+3 more
doaj +1 more source
Performance Analysis of Simplification of Hyperplane Support Vector Machine
Comparing with traditional support vector machine,hyperplane support vector machine (HPSVM)and hyperplane support vector machine for regression(HPSVMR)not only reduce the number of support vectors and calculation time but also have comparable accuracy ...
Hui Cheng+3 more
doaj +2 more sources
Multi-class protein fold recognition using support vector machines and neural networks [PDF]
Chris Ding, Inna Dubchak
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Application of Genetic Algorithm Based Support Vector Machine Model in Second Virial Coefficient Prediction of Pure Compounds [PDF]
In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds ...
Mohammad Soleimani Lashkenar+2 more
doaj
Support vector machine as an efficient tool for high‐dimensional data processing: Application to substorm forecasting [PDF]
Valeriy Gavrishchaka, Supriya B. Ganguli
openalex +1 more source
Support vector machine multiuser receiver for DS-CDMA signals in multipath channels [PDF]
Sheng Chen+2 more
openalex +1 more source
Karyotyping of comparative genomic hybridization human metaphases by using support vector machines [PDF]
Zhenzhen Kou, Liang Ji, Xuegong Zhang
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Granular-Balls based Fuzzy Twin Support Vector Machine for Classification [PDF]
The twin support vector machine (TWSVM) classifier has attracted increasing attention because of its low computational complexity. However, its performance tends to degrade when samples are affected by noise. The granular-ball fuzzy support vector machine (GBFSVM) classifier partly alleviates the adverse effects of noise, but it relies solely on the ...
arxiv
Handwritten digit recognition by combining support vector machines using rule-based reasoning [PDF]
D. Gorgevik+2 more
openalex +1 more source