Support vector machine based multiagent ensemble learning for credit risk evaluation

Expert Systems with Applications

Volumn 37, Issue 2, 2010, Pages 1351-1360

  Yu, Lean ^a   Yue, Wuyi ^b   Wang, Shouyang ^a   Lai, K K ^c  

^a INSTITUTE OF SYSTEMS SCIENCE   (China)

^b KONAN UNIVERSITY   (Japan)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Credit risk evaluation; Diversity strategy; Ensemble strategy; Multiagent ensemble learning; Support vector machine (SVM)

Indexed keywords

CREDIT CARDS; CREDIT RISK EVALUATION; DATA SETS; ENSEMBLE LEARNING; ENSEMBLE LEARNING APPROACH; ENSEMBLE STRATEGIES; EVALUATION RESULTS; GENERALIZATION PERFORMANCE; LEARNING PARADIGMS; MULTI-AGENT; SAMPLE DATA; TRAINING SUBSETS;

ARTIFICIAL INTELLIGENCE; EDUCATION; IMAGE RETRIEVAL; INTELLIGENT AGENTS; RISK ASSESSMENT; SET THEORY; STATISTICAL TESTS; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 71749114830     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.06.083     Document Type: Article

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