메뉴 건너뛰기




Volumn , Issue , 2013, Pages 1380-1386

Co-regularized ensemble for feature selection

Author keywords

[No Author keywords available]

Indexed keywords

DATA TYPE; FEATURE RELEVANCE; FEATURE SUBSET; JOINT OPTIMIZATION; LABELED DATA; LOSS FUNCTIONS; OVERFITTING; POTENTIAL PROBLEMS;

EID: 84896062105     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (35)

References (24)
  • 1
    • 55149088329 scopus 로고    scopus 로고
    • Convex multi-task feature learning
    • A. Argyriou, T. Evgeniou, and M. Pontil. Convex multi-task feature learning. Machine Learning, 73(3):243-272, 2008.
    • (2008) Machine Learning , vol.73 , Issue.3 , pp. 243-272
    • Argyriou, A.1    Evgeniou, T.2    Pontil, M.3
  • 5
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • K. Crammer and Y. Singer. On the algorithmic implementation of multiclass kernel-based vector machines. The Journal of Machine Learning Research, 2:265-292, 2002.
    • (2002) The Journal of Machine Learning Research , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2
  • 11
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • A.E. Hoerl and R.W. Kennard. Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12(1):55-67, 1970.
    • (1970) Technometrics , vol.12 , Issue.1 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 19
    • 0038137315 scopus 로고    scopus 로고
    • Ensemble feature selection with the simple bayesian classification
    • A. Tsymbal, S. Puuronen, and D.W. Patterson. Ensemble feature selection with the simple bayesian classification. Information Fusion, 4(2):87-100, 2003.
    • (2003) Information Fusion , vol.4 , Issue.2 , pp. 87-100
    • Tsymbal, A.1    Puuronen, S.2    Patterson, D.W.3
  • 22
    • 84897584116 scopus 로고    scopus 로고
    • Feature selection for multimedia analysis by sharing information among multiple tasks
    • Y. Yang, Z. Ma, A. Hauptmann, and N. Sebe. Feature selection for multimedia analysis by sharing information among multiple tasks. IEEE Transactions on Multimedia, 15(3):661-669, 2013.
    • (2013) IEEE Transactions on Multimedia , vol.15 , Issue.3 , pp. 661-669
    • Yang, Y.1    Ma, Z.2    Hauptmann, A.3    Sebe, N.4
  • 24
    • 84864028262 scopus 로고    scopus 로고
    • Multiinstance multi-label learning with application to scene classification
    • Z.H. Zhou and M.L. Zhang. Multiinstance multi-label learning with application to scene classification. Advances in Neural Information Processing Systems, 19:1609-1616, 2007.
    • (2007) Advances in Neural Information Processing Systems , vol.19 , pp. 1609-1616
    • Zhou, Z.H.1    Zhang, M.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.