A novel virtual sample generation method based on Gaussian distribution

Knowledge-Based Systems

Volumn 24, Issue 6, 2011, Pages 740-748

  Yang, Jing ^a,c   Yu, Xu ^a   Xie, Zhi Qiang ^a,b   Zhang, Jian Pei ^a  

^a HARBIN ENGINEERING UNIVERSITY   (China)

^b HARBIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Culture Home ^*  (China)

Author keywords

Cost sensitive learning; Gaussian distribution; Prior knowledge; Regularization theory; Virtual sample

Indexed keywords

COST-SENSITIVE LEARNING; GENERALIZATION ABILITY; GENERATION METHOD; MACHINE LEARNING ALGORITHMS; PRIOR KNOWLEDGE; REGULARIZATION THEORY; SMALL SAMPLES; STANDARD ERRORS; TRAINING SETS; VIRTUAL SAMPLE;

CLASSIFICATION (OF INFORMATION); LEARNING ALGORITHMS;

GAUSSIAN DISTRIBUTION;

EID: 79957446849     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.12.010     Document Type: Article

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