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https://www.csie.ntu.edu.tw/~p88012/Bio_SVM.pdf
Recently support vector machines (SVM) has been a new and promising tech-nique for machine learning. On some applications it has obtained higher accuracy than neural networks (for example, [17]). SVM has also been applied to biological problems. Some examples are [6, 80]. In this thesis we exploit the possibility of using
https://aip.scitation.org/doi/10.1063/1.3516299
Oct 27, 2010 · Support Vector Machine (SVM) classifiers are a set of universal feed‐forward network based classification algorithms that have been formulated from statistical learning theory and structural risk minimization principle. SVM regression closely follows the classification methodology. ... In this work recent applications of SVM in Chemo ...Author: V. K. Jayaraman, V. Sundararajan
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 ...Cited by: 199
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]
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 classifying everything as the majority class.
https://www.researchgate.net/publication/8574550_Support_vector_machine_applications_in_bioinformatics
Fuzzy support vector machine (FSVM) has been used in many applications as a most prominent technique by researchers to overcome the sensitivity issue faced by SVM, and for …
http://adsabs.harvard.edu/abs/2010AIPC.1298...18J
Applications of Support Vector Machines In Chemo And Bioinformatics: Authors: Jayaraman, V. K.; Sundararajan, V. Affiliation: AA(CSIR Emeritus Scientist, Center For Development of Advanced Computing, Pune University Campus Pune-411007, India), AB(Group Leader, Center For Development of Advanced Computing, Pune University Campus Pune-411007, India)
http://compdiag.molgen.mpg.de/docs/markowetz_diplom.pdf
few years Support Vector Machines proofed excellent performance in many real-world applications such as text categorisation, hand-written character recognition, image clas-si cation or biological sequence analysis. Because many aspects in the theory of Support Vector Machines are still under in-
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