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https://www.csie.ntu.edu.tw/~p88012/Bio_SVM.pdf
Application of Support Vector Machines in Bioinformatics by Jung-Ying Wang ... Taipei 106, Taiwan Jung-Ying Wang December 3, 2001 iii. TABLE OF CONTENTS ... Recently support vector machines (SVM) has been a new and promising tech-nique for machine learning. On some applications it has obtained higher accuracy
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]
http://calla.rnet.missouri.edu/cheng_courses/mlbioinfo/cheng_svm_bioinfo.pdf
Support Vector Machine Applications in Bioinformatics Jianlin Cheng, PhD Computer Science Department and Informatics Institute University of Missouri 2016 ... contact prediction using support vector machine and a large feature set. BMC Bioinformatics, 2007. Created Date:
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://cbio.mines-paristech.fr/~jvert/talks/110401mines/mines.pdf
Support vector machines, kernels, and applications in computational biology Jean-Philippe Vert ... 1 Machine learning in bioinformatics 2 Linear support vector machines 3 Nonlinear SVM and kernels 4 SVM for complex data: the case of graphs 5 Conclusion Jean-Philippe Vert (ParisTech) Machine learning in bioinformatics Mines ParisTech 2 / 88.
http://onlinelibrary.wiley.com/doi/10.1002/prot.340160109/full?scrollTo=references
An empirical relation between the amino acid composition and three‐dimensional folding pattern of several classes of proteins has been determined. Computer simulated neural networks have …
https://www.csie.ntu.edu.tw/~p88012/Bio_SVM.pdf
Application of Support Vector Machines in Bioinformatics by Jung-Ying Wang ... Taipei 106, Taiwan Jung-Ying Wang December 3, 2001 iii. TABLE OF CONTENTS ... Recently support vector machines (SVM) has been a new and promising tech-nique for machine learning. On some applications it has obtained higher accuracy
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]
http://calla.rnet.missouri.edu/cheng_courses/mlbioinfo/cheng_svm_bioinfo.pdf
Support Vector Machine Applications in Bioinformatics Jianlin Cheng, PhD Computer Science Department and Informatics Institute University of Missouri 2016 ... contact prediction using support vector machine and a large feature set. BMC Bioinformatics, 2007. Created Date:
http://onlinelibrary.wiley.com/doi/10.1002/prot.340160109/full?scrollTo=references
An empirical relation between the amino acid composition and three‐dimensional folding pattern of several classes of proteins has been determined. Computer simulated neural networks have …
https://www.researchgate.net/publication/264182316_Weighted_Support_Vector_Machines_with_the_SCAD_Penalty
Weighted Support Vector Machines with the SCAD Penalty ... Ying Huang; Optimal biomarker combinations for treatment-selection can be derived by minimizing total …
http://cbio.mines-paristech.fr/~jvert/talks/110401mines/mines.pdf
Support vector machines, kernels, and applications in computational biology Jean-Philippe Vert ... 1 Machine learning in bioinformatics 2 Linear support vector machines 3 Nonlinear SVM and kernels 4 SVM for complex data: the case of graphs 5 Conclusion Jean-Philippe Vert (ParisTech) Machine learning in bioinformatics Mines ParisTech 2 / 88.
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 …
https://link.springer.com/chapter/10.1007%2F11539087_85
A novel classification technique, support vector machines (SVMs), has been successfully employed in many fields to deal with classification problems. However, the application of SVMs for employee voluntary turnover prediction has not been widely explored.Cited by: 5
https://academictree.org/polisci/publications.php?pid=545750
Yin-ying Huang, Ph.D. - Publications . Affiliations: 2002 : Temple University, Philadelphia, PA, United States : ... Huang Y, Jung SY, Jain A, Qin J, Wang Y. A Bioinformatic Algorithm for Analyzing Cell Signaling Using Temporal Proteomic Data. Proteomics. ... Distance Metric Learning via Iterated Support Vector Machines.
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