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Volumn 73, Issue 9, 2010, Pages 2855-2867

Relevance regression learning with support vector machines

Author keywords

Regression; Relevance based learning; SVM; Uncertainty management

Indexed keywords

REGRESSION ANALYSIS;

EID: 77955660099     PISSN: 0362546X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.na.2010.06.035     Document Type: Article
Times cited : (12)

References (25)
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    • Te'Eni, D.1
  • 11
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    • F. Dufrenois, J. Colliez, D. Hamad, Weighted support vector regression for robust single model estimation: application to motion segmentation in image sequences, in: Neural Networks, 2007, IJCNN 2007, International Joint Conference on, 2007, pp. 586591.
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    • Dufrenois, F.1    Colliez, J.2    Hamad, D.3
  • 18
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    • Discovering regression data quality through clustering methods
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    • Tipping, M.E.1
  • 22
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  • 24
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    • Biomechanical investigation to determine physical and traumatological differentiating criteria for the maximum load capacity of head and vertebral column with and without protective helmet under the effects of impact
    • University of Heidelberg
    • G. Schmidt, R. Mattern, F. Schueler, Biomechanical investigation to determine physical and traumatological differentiating criteria for the maximum load capacity of head and vertebral column with and without protective helmet under the effects of impact, in: EEC Research Program on Biomechanics of Impact, Final Report., Tech. Rep., University of Heidelberg, 1981.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.