An Efficient Multi-class Support Vector Machine Classifier for Protein Fold Recognition

被引：4
|
作者：
Chmielnicki, Wieslaw
Stapor, Katarzyna
Roterman-Konieczna, Irena
机构：
来源：
ADVANCES IN BIOINFORMATICS | 2010年 / 74卷
关键词：
ENSEMBLE; SCOP;
D O I：
10.1007/978-3-642-13214-8_10
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Predicting the three-dimensional (3D) structure of a protein is a key problem in molecular biology. It is also interesting issue for statistical methods recognition. In this paper a multi-class Support Vector Machine (SVM) classifier is used on a real world data set. The SVM is a binary classifier and how to effectively extend a binary to the multi-class classifier case is still an on-going research problem. The new efficient approach is proposed in this paper. The obtained results are promising and reveal areas for possible further work.
引用
收藏
页码：77 / 84
页数：8
相关论文
共 50 条
  • [41] K-SVCR.: A multi-class support vector machine
    Angulo, C
    Català, A
    [J]. MACHINE LEARNING: ECML 2000, 2000, 1810 : 31 - 38
  • [42] A Comparative Study of Kernels for the Multi-class Support Vector Machine
    Chaudhuri, Arindam
    De, Kajal
    Chatterjee, Dipak
    [J]. ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS, 2008, : 3 - +
  • [43] A novel fuzzy compensation multi-class support vector machine
    Zhang, Yong
    Chi, Zhong-xian
    Liu, Xiao-dan
    Wang, Xiang-hai
    [J]. APPLIED INTELLIGENCE, 2007, 27 (01) : 21 - 28
  • [44] Feature selection with kernelized multi-class support vector machine
    Guo, Yinan
    Zhang, Zirui
    Tang, Fengzhen
    [J]. PATTERN RECOGNITION, 2021, 117
  • [45] Hierarchical support vector machines for multi-class pattern recognition
    Schwenker, F
    [J]. KES'2000: FOURTH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, VOLS 1 AND 2, PROCEEDINGS, 2000, : 561 - 565
  • [46] Hierarchical support vector machines for multi-class pattern recognition
    Schwenker, Friedhelm
    [J]. International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES, 2000, 2 : 561 - 565
  • [47] Two multi-class lagrangian support vector machine algorithms
    Duan, Hua
    Liu, Quanchang
    He, Guoping
    Zeng, Qingtian
    [J]. ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2007, 4682 : 891 - 899
  • [48] Multi-class classification algorithm based on Support Vector Machine
    Yang Kuihe
    Yuan Min
    [J]. 7TH INTERNATIONAL CONFERENCE ON MEASUREMENT AND CONTROL OF GRANULAR MATERIALS, PROCEEDINGS, 2006, : 322 - 325
  • [49] Multi-Class Support Vector Machine with Maximizing Minimum Margin
    Nie, Feiping
    Hao, Zhezheng
    Wang, Rong
    [J]. THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 13, 2024, : 14466 - 14473
  • [50] Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification
    Ju, Xuchan
    Tian, Yingjie
    Liu, Dalian
    Qi, Zhiquan
    [J]. INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE, 2015, 51 : 1574 - 1582
12345