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Volumn , Issue , 2004, Pages 244-249

On-line novelty detection for non-stationary classes using a modified support vector machine

Author keywords

Non stationary Data; Novelty Detection; Online Training; Support Vector Machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; DIAGNOSIS; KNOWLEDGE ACQUISITION; MAMMOGRAPHY; ONLINE SYSTEMS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS;

EID: 11144287783     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (14)
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    • Support vector domain description
    • Tax, D.M.J., & Duin, R.P.W., Support vector domain description, Pattern Recognition Letters, 20 (11-13), (1999), 1191-1199
    • (1999) Pattern Recognition Letters , vol.20 , Issue.11-13 , pp. 1191-1199
    • Tax, D.M.J.1    Duin, R.P.W.2
  • 6
    • 0037250871 scopus 로고    scopus 로고
    • Experimental validation of structural health monitoring methodology
    • K. Worden & G. Manson, Experimental Validation of Structural Health Monitoring Methodology, Journal of Sound Vibration, 259(2) 2003, 345-363
    • (2003) Journal of Sound Vibration , vol.259 , Issue.2 , pp. 345-363
    • Worden, K.1    Manson, G.2
  • 12
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery 2(2) 121-167, 1998
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.