Dynamic Classifier Selection with Confidence Intervals

被引：0

作者：

Valdovinos, R. M. ^{[1
]}

Sanchez, M. ^{[1
]}

Ruiz, Issachar ^{[1
]}

机构：

[1] Univ Autonoma Estado Mexico, Ctr Univ UAEM Valle de Chalco, Computo Aplicado Grp, Valle De Chalco 56615, Mexico

来源：

ADVANCES IN COMPUTATIONAL INTELLIGENCE | 2009年 / 61卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays, the ensembles are a popular classification method. In order to obtain the final decision the selection and the fusion methods are used. In this paper, the Dynamic Classifier Selection with Confidence Intervals (DCS-CONFI) method is proposed. This method use confidence intervals for identity the true knowledge or the influence of each individual classifier in the final decision, thus, the member with higher confidence interval is chosen tor classify the test pattern. The experimental results demonstrated the convenience of to determinate the confidence level when the classifier selection scheme is used.

引用

页码：473 / 482

页数：10

共 50 条

[41] Confidence intervals
Dracup, B
PSYCHOLOGIST, 2003, 16 (10) : 543 - 543
[42] The empirical coverage of confidence intervals: Point estimates and confidence intervals for confidence levels
Schall, Robert
BIOMETRICAL JOURNAL, 2012, 54 (04) : 537 - 551
[43] Effect sizes, confidence intervals, and confidence intervals for effect sizes
Thompson, Bruce
PSYCHOLOGY IN THE SCHOOLS, 2007, 44 (05) : 423 - 432
[44] FALSE CONFIDENCE IN INTERVALS - INACCURACIES IN REPORTING CONFIDENCE-INTERVALS
SCHULTE, AC
BORICH, GD
PSYCHOLOGY IN THE SCHOOLS, 1988, 25 (04) : 405 - 412
[45] Dynamic Classifier Ensemble Selection Based on GMDH
Xiao, Jin
He, Changzheng
INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 1, PROCEEDINGS, 2009, : 731 - 734
[46] Dynamic Ensemble Selection with Probabilistic Classifier Chains
Narassiguin, Anil
Elghazel, Haytham
Aussem, Alex
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT I, 2017, 10534 : 169 - 186
[47] Dynamic selection approaches for multiple classifier systems
Cavalin, Paulo R.
Sabourin, Robert
Suen, Ching Y.
NEURAL COMPUTING & APPLICATIONS, 2013, 22 (3-4): : 673 - 688
[48] Dynamic selection approaches for multiple classifier systems
Paulo R. Cavalin
Robert Sabourin
Ching Y. Suen
Neural Computing and Applications, 2013, 22 : 673 - 688
[49] Adapting dynamic classifier selection for concept drift
Almeida, Paulo R. L.
Oliveira, Luiz S.
Britto, Alceu S., Jr.
Sabourin, Robert
EXPERT SYSTEMS WITH APPLICATIONS, 2018, 104 : 67 - 85
[50] Dynamic classifier selection: Recent advances and perspectives
Cruz, Rafael M. O.
Sabourin, Robert
Cavalcanti, George D. C.
INFORMATION FUSION, 2018, 41 : 195 - 216

← 1 2 3 4 5 →