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Volumn 148, Issue , 2006, Pages 993-1000

Two-dimensional solution path for support vector regression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA PROCESSING; ERRORS; ITERATIVE METHODS; PARAMETER ESTIMATION; REGRESSION ANALYSIS;

EID: 34250767233     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143844.1143969     Document Type: Conference Paper
Times cited : (11)

References (9)
  • 2
    • 76649126602 scopus 로고    scopus 로고
    • Gunter, L., &: Zhu, J. (2005). Computing the solution path for the regularized support vector regression. Advances in Neural Information Processing Systems 18 (NIPS-05).
    • Gunter, L., &: Zhu, J. (2005). Computing the solution path for the regularized support vector regression. Advances in Neural Information Processing Systems 18 (NIPS-05).
  • 4
    • 31844436348 scopus 로고    scopus 로고
    • Piecewise linear regularized solution paths
    • Stanford University
    • Rosset, S., & Zhu, J. (2003). Piecewise linear regularized solution paths (Technical Report). Stanford University.
    • (2003) Technical Report
    • Rosset, S.1    Zhu, J.2
  • 5
    • 12844274244 scopus 로고    scopus 로고
    • Boosting as a regularized path to a maximum margin classifier
    • Rosset, S., Zhu, J., & Hastie, T. (2004). Boosting as a regularized path to a maximum margin classifier. Journal of Machine Learning Research, 5, 941-973.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 941-973
    • Rosset, S.1    Zhu, J.2    Hastie, T.3
  • 9
    • 34250726979 scopus 로고    scopus 로고
    • Zhu, J., Rosset, S., Hastie, T., & Tibshirani, R. (2003). 1-norm support vector machines. Advances in Neural Information Processing Systems 16 (NIPS-03).
    • Zhu, J., Rosset, S., Hastie, T., & Tibshirani, R. (2003). 1-norm support vector machines. Advances in Neural Information Processing Systems 16 (NIPS-03).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.