Jung Ying Huang 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 ... 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

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]

Statistical Machine Learning Methods for Bioinformatics VI ...

    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:

Support vector machine applications in bioinformatics

    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 …

Support vector machines, kernels, and applications in ...

    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.

Prediction of protein folding class from amino acid ...

    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 …

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 ... 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

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]

Statistical Machine Learning Methods for Bioinformatics VI ...

    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:

Prediction of protein folding class from amino acid ...

    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 …

Weighted Support Vector Machines with the SCAD Penalty

    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 …

Support vector machines, kernels, and applications in ...

    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.

Support vector machine applications in bioinformatics

    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 …

Application of Support Vector Machines in ... - SpringerLink

    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

Yin-ying Huang - Publications

    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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