Results 71 to 80 of about 725,482 (185)

Support Vector Machine Implementations for Classification & Clustering

open access: yesBMC Bioinformatics, 2006
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

open access: yesDianxin kexue, 2015
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

Application of Genetic Algorithm Based Support Vector Machine Model in Second Virial Coefficient Prediction of Pure Compounds [PDF]

open access: yesIranian Journal of Chemistry & Chemical Engineering, 2018
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  

Granular-Balls based Fuzzy Twin Support Vector Machine for Classification [PDF]

open access: yesarXiv
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  

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