Quality of information-based source assessment and selection

Neurocomputing

Volumn 133, Issue , 2014, Pages 95-102

  Lin, Yaojin ^a,b   Hu, Xuegang ^a   Wu, Xindong ^a,c  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b MINNAN NORMAL UNIVERSITY   (China)

^c University of Vermont   (United States)

Author keywords

Multiple information sources; Neighborhood mutual information; Redundancy; Significance

Indexed keywords

COMPUTER APPLICATIONS; NEURAL NETWORKS;

CLASSIFICATION LEARNING; INFORMATION SOURCES; LEARNING PERFORMANCE; MUTUAL INFORMATIONS; QUALITY OF INFORMATION; SIGNIFICANCE; SOURCE ASSESSMENT; SOURCE REDUNDANCY;

REDUNDANCY;

ARTICLE; CLASSIFICATION ALGORITHM; CLINICAL EFFECTIVENESS; CONTROLLED STUDY; ENTROPY; INFORMATION PROCESSING; LEARNING ALGORITHM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MAX SIGNIFICANCE MIN REDUNDANCY METRIC; MULTIPLE INFORMATION SOURCE; PRIORITY JOURNAL; PROBABILITY; PROCESS DEVELOPMENT; QUALITY CONTROL; REDUNDANCY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

EID: 84894547374     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.11.027     Document Type: Article

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