Application Of Support Vector Machines In Bioinformatics

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Application of Support Vector Machines in Bioinformatics

    https://www.csie.ntu.edu.tw/~p88012/Bio_SVM.pdf
    Application of Support Vector Machines in Bioinformatics. by Jung-Ying Wang A dissertation submitted in partial fulfillment of the requirements for the degree of Master of Science (Computer Science and Information Engineering) in National Taiwan University 2002.

Application of Support Vector Machine In Bioinformatics

    http://mat.edu.bioinformatics.org/BIFX11/Gupta.pdf
    Application of Support Vector Machine In Bioinformatics V. K. Jayaraman Scientific and Engineering Computing Group CDAC, Pune [email protected] Arun Gupta Computational Biology Group AbhyudayaTech, Indore [email protected]

Biological applications of support vector machines ...

    https://academic.oup.com/bib/article/5/4/328/265877
    Dec 01, 2004 · One of the major tasks in bioinformatics is the classification and prediction of biological data. With the rapid increase in size of the biological databanks, it is essential to use computer programs to automate the classification process. At present, the computer programs that give the best prediction performance are support vector machines (SVMs).Cited by: 199

Applications of Support Vector Machines in Bioinformatics ...

    https://www.researchgate.net/profile/Turgay_Korkmaz/publication/221907522_Applications_of_Support_Vector_Machines_in_Bioinformatics_and_Network_Security/links/09e4150b3ba6d9db78000000.pdf?origin=publication_detail
    Applications of Support Vector Machines in Bioinformatics and Network Security 129 Therefore, for many imbalanced datasets, the ML classifier ends up …

Application of support vector machines for T-cell epitopes ...

    https://academic.oup.com/bioinformatics/article/19/15/1978/230996
    Oct 12, 2003 · Results: For the first time we develop a support vector machine (SVM) for T-cell epitope prediction with an MHC type I restricted T-cell clone. Using cross-validation, we demonstrate that SVMs can be trained on relatively small data sets to provide prediction more accurate than those based on previously published methods or on MHC binding.Cited by: 155

Application of Support Vector Machines In Bioinformatics ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.7578
    CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Recently a new learning method called support vector machines (SVM) has shown comparable or better results than neural networks on some applications. In this thesis we exploit the possibility of using SVM for three important issues of bioinformatics: the prediction of protein secondary structure, …

(PDF) Applications of Support Vector Machines in ...

    https://www.researchgate.net/publication/221907522_Applications_of_Support_Vector_Machines_in_Bioinformatics_and_Network_Security
    Applications of Support Vector Machines in Bioinformatics and Network Security 129 Therefore, for many imbalanced datasets, the ML classifier …



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