Predicting beta-turns in proteins using support vector machines with fractional polynomials

被引:0
|
作者
Murtada Khalafallah Elbashir
Jianxin Wang
Fang-Xiang Wu
Lusheng Wang
机构
[1] Central South University,School of Information Science and Engineering
[2] University of Saskatchewan,Department of Mechanical Engineering
[3] City University of Hong Kong,Department of Computer Science
[4] University of Gezira,Faculty of Mathematical and Computer Sciences
来源
关键词
Support Vector Machine; Support Vector Machine Classifier; Fractional Polynomial; Torsion Pair; Shape String;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Predicting Arterial Stiffness from radial Pulse Waveform using support vector machines
    Zheng, Yingying
    Zhang, Yongliang
    Ma, Zuchang
    Sun, Yining
    2010 SYMPOSIUM ON SECURITY DETECTION AND INFORMATION PROCESSING, 2010, 7 : 458 - 462
  • [42] Predicting Performance of First Year Engineering Students in Calculus by Using Support Vector Machines
    Guner, Necdet
    Comak, Emre
    PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, 2011, 17 (02): : 87 - 96
  • [43] On Predicting Glycaemia in Type 1 Diabetes Mellitus Patients by using Support Vector Machines
    Rodriguez-Rodriguez, Ignacio
    Angel Zamora, Miguel
    Rodriguez, Jose-Victor
    PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON INTERNET OF THINGS AND MACHINE LEARNING (IML'17), 2017,
  • [44] Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors
    Guerra, Silvio B.
    Prudencio, Ricardo B. C.
    Ludermir, Teresa B.
    ARTIFICIAL NEURAL NETWORKS - ICANN 2008, PT I, 2008, 5163 : 523 - 532
  • [45] Using genetic algorithms for feature selection in predicting financial distresses with support vector machines
    Huang, Pei-Wen
    Liu, Chao-Lin
    2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, 2006, : 4892 - +
  • [46] Predicting Mortality of ICU Patients Using Statistics of Physiological Variables and Support Vector Machines
    Bosnjak, Antonio
    Montilla, Guillermo
    2012 COMPUTING IN CARDIOLOGY (CINC), VOL 39, 2012, 39 : 481 - 484
  • [47] Support vector machines for predicting membrane protein types by using functional domain composition
    Cai, YD
    Zhou, GP
    Chou, KC
    BIOPHYSICAL JOURNAL, 2003, 84 (05) : 3257 - 3263
  • [48] Predicting Student Carefulness within an Educational Game for Physics using Support Vector Machines
    Banawan, Michelle P.
    Rodrigo, Ma. Mercedes T.
    Andres, Juan Miguel L.
    25TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE 2017): TECHNOLOGY AND INNOVATION: COMPUTER-BASED EDUCATIONAL SYSTEMS FOR THE 21ST CENTURY, 2017, : 62 - 67
  • [49] Predicting the nonlinear dynamics of biological neurons using support vector machines with different kernels
    Frontzek, T
    Lal, TN
    Eckmiller, R
    IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2001, : 1492 - 1497
  • [50] Application of support vector machines and relevance vector machines in predicting uniaxial compressive strength of volcanic rocks
    Ceryan, Nurcihan
    JOURNAL OF AFRICAN EARTH SCIENCES, 2014, 100 : 634 - 644