Experimental comparisons of multi-class classifiers

被引：0
|
作者：
Institute of Intelligent Computing and Information Technology, Chengdu Normal University, No.99 East Haike Road, Wenjiang District, Chengdu, China [1 ]
不详 [2 ]
机构：
来源：
Informatica | / 1卷 / 71-85期
关键词：
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
  • [21] A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification
    Takenouchi, Takashi
    Ishii, Shin
    NEURAL INFORMATION PROCESSING, ICONIP 2012, PT II, 2012, 7664 : 375 - 382
  • [22] Multi-class SVM classifiers fusion based on evidence combination
    Han, De-Qiang
    Han, Chong-Zhao
    Yang, Yi
    2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 579 - 584
  • [23] On Evaluating Multi-class Network Traffic Classifiers Based on AUC
    Yang, Jie
    Wang, Yi-Xuan
    Qiao, Yuan-Yuan
    Zhao, Xiao-Xing
    Liu, Fang
    Cheng, Gang
    WIRELESS PERSONAL COMMUNICATIONS, 2015, 83 (03) : 1731 - 1750
  • [24] Statistical approaches to combining binary classifiers for multi-class classification
    Shiraishi, Yuichi
    Fukumizu, Kenji
    NEUROCOMPUTING, 2011, 74 (05) : 680 - 688
  • [25] DISTANCE BETWEEN SPECIES BY CONFUSION OPERATORS OF MULTI-CLASS CLASSIFIERS
    Tarba, Nicolae
    Irimescu, Ionela N.
    Pleava, Ana M.
    Scarlat, Eugen N.
    Mihailescu, Mona
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS, 2025, 87 (01): : 171 - 182
  • [26] Using an Hebbian Learning Rule for Multi-Class SVM Classifiers
    Thierry Viéville
    Sylvie Crahay
    Journal of Computational Neuroscience, 2004, 17 : 271 - 287
  • [27] Dynamic selection and combination of one-class classifiers for multi-class classification
    Fragoso, Rogerio C. P.
    Cavalcanti, George D. C.
    Pinheiro, Roberto H. W.
    Oliveira, Luiz S.
    KNOWLEDGE-BASED SYSTEMS, 2021, 228
  • [28] Ensembles of deep one-class classifiers for multi-class image classification
    Novotny, Alexander
    Bebis, George
    Nicolescu, Mircea
    Tavakkoli, Alireza
    MACHINE LEARNING WITH APPLICATIONS, 2025, 19
  • [29] Multi-class classification via heterogeneous ensemble of one-class classifiers
    Kang, Seokho
    Cho, Sungzoon
    Rang, Pilsung
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2015, 43 : 35 - 43
  • [30] MULTI-CLASS CLASSIFIERS BASED ON BINARY CLASSIFIERS: PERFORMANCE, EFFICIENCY, AND MINIMUM CODING MATRIX DISTANCES
    Beekhof, Fokko
    Voloshynovskiy, Sviatoslav
    Koval, Oleksiy
    Holotyak, Taras
    2009 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 2009, : 270 - +
12345