Improvement of performance in multiclass problems by using biclassification based on error-correcting output code

被引：0

作者：

Kim, Young Bun ^{[1
]}

Oh, Jung Hun ^{[1
]}

Gao, Jean ^{[1
]}

机构：

[1] Univ Texas Arlington, Dept Comp Sci & Engn, Arlington, TX 76019 USA

来源：

WCECS 2007: WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE | 2007年

关键词：

ECOC; multiclass; bi-classification; one-vs-one;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Error-correcting output coding (ECOC) is a widely used multicategory classification algorithm that decomposes multiclass problems into a set of binary classification problems. In this paper, we propose a new method based on a bi-classification strategy, consisting of one-vs-one and ECOC classification. Also we introduce methods to improve a standard ECOC. The proposed method is compared to other algorithms by performing experiments with gene expression datasets.

引用

页码：677 / 682

页数：6

共 50 条

[1] Solving Multiclass Learning Problems via Error-Correcting Output Codes
Dietterich, Thomas G.
Bakiri, Ghulum
[J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 1994, 2 : 263 - 286
[2] Optimisation of multiclass supervised classification based on using output codes with error-correcting
Ryazanov V.V.
[J]. Pattern Recognition and Image Analysis, 2016, 26 (2) : 262 - 265
[3] System Evaluation of Ternary Error-Correcting Output Codes for Multiclass Classification Problems
Hirasawa, Shigeichi
Kumoi, Gendo
Yagi, Hideki
Kobayashi, Manabu
Goto, Masayuki
Sakai, Tetsuya
Inazumi, Hiroshige
[J]. 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 2893 - 2898
[4] Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification
Park, Sang-Hyeun
Fuernkranz, Johannes
[J]. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II, 2009, 5782 : 189 - 204
[5] Error-correcting source code
Ajiro, Y
Ueda, K
Cho, K
[J]. PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING - CP98, 1998, 1520 : 40 - 54
[6] Multiclass Learning for Writer Identification using Error-Correcting Codes
Porwal, Utkarsh
Ramaiah, Chetan
Kumar, Ashish
Govindaraju, Venu
[J]. 2014 11TH IAPR INTERNATIONAL WORKSHOP ON DOCUMENT ANALYSIS SYSTEMS (DAS 2014), 2014, : 16 - 20
[7] Effectiveness of error correcting output codes in multiclass learning problems
Masulli, F
Valentini, G
[J]. MULTIPLE CLASSIFIER SYSTEMS, 2000, 1857 : 107 - 116
[8] An Error-Correcting Output Code Framework for Lifelong Learning without a Teacher
Ho, Shen-Shyang
Marchiano, Mathew
Zockoll, Scott
Nguyen, Hieu
[J]. 2020 IEEE 32ND INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI), 2020, : 249 - 254
[9] Quantum error-correcting code for burst error
Kawabata, S
[J]. QUANTUM COMMUNICATION, COMPUTING, AND MEASUREMENT 3, 2001, : 231 - 234
[10] Hierarchical error-correcting output codes based on SVDD
Lei Lei
Wang Xiao-dan
Luo Xi
Song Ya-fei
[J]. Pattern Analysis and Applications, 2016, 19 : 163 - 171

← 1 2 3 4 5 →