메뉴 건너뛰기




Volumn 26, Issue 13, 2005, Pages 2104-2115

Effective transductive learning via objective model selection

Author keywords

Clustering; Error bounds; Semi supervised learning; Transduction; Transductive learning

Indexed keywords

DATA REDUCTION; LEARNING ALGORITHMS;

EID: 24344472681     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.03.025     Document Type: Article
Times cited : (12)

References (14)
  • 1
    • 0010805362 scopus 로고    scopus 로고
    • Learning from labeled and unlabeled data using graph mincuts
    • Blum, A., Chawla, S., 2001. Learning from labeled and unlabeled data using graph mincuts. In: ICML-2001.
    • (2001) ICML-2001
    • Blum, A.1    Chawla, S.2
  • 2
    • 0031620208 scopus 로고    scopus 로고
    • Combining labeled and unlabeled data with co-training
    • URL citeseer.nj.nec.com/blum98combining.html
    • Blum, A., Mitchell, T., 1998. Combining labeled and unlabeled data with co-training. In: COLT-1998, URL citeseer.nj.nec.com/blum98combining.html.
    • (1998) COLT-1998
    • Blum, A.1    Mitchell, T.2
  • 3
    • 9444288055 scopus 로고    scopus 로고
    • PAC-MDL bounds
    • Blum, A., Langford, J., 2003. PAC-MDL Bounds. In: COLT-2003, pp. 344-357.
    • (2003) COLT-2003 , pp. 344-357
    • Blum, A.1    Langford, J.2
  • 4
    • 24344493233 scopus 로고
    • On the effective vc dimension
    • Neuroprose also on http://leon.bottou.com/publications
    • Bottou, L., Cortes, C., Vapnik, V., 1994. On the effective vc dimension. Tech. rep., Neuroprose (ftp://archive.cis.ohio-state.edu/pub/neuroprose ), also on http://leon.bottou.com/publications.
    • (1994) Tech. Rep.
    • Bottou, L.1    Cortes, C.2    Vapnik, V.3
  • 6
    • 24344495921 scopus 로고    scopus 로고
    • Explicit learning curves for transduction and application to clustering and compression algorithms
    • P. Derbeko, R. El-Yaniv, and R. Meir Explicit learning curves for transduction and application to clustering and compression algorithms J. Artificial Intelligence Res. (JAIR) 22 2004 117 142
    • (2004) J. Artificial Intelligence Res. (JAIR) , vol.22 , pp. 117-142
    • Derbeko, P.1    El-Yaniv, R.2    Meir, R.3
  • 7
    • 1942483137 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • Joachims, T., 1999. Transductive inference for text classification using support vector machines. In: ICML-1999.
    • (1999) ICML-1999
    • Joachims, T.1
  • 8
    • 1942484960 scopus 로고    scopus 로고
    • Transductive learning via spectral graph partitioning
    • Joachims, T., 2003. Transductive learning via spectral graph partitioning. In: ICML-2003.
    • (2003) ICML-2003
    • Joachims, T.1
  • 9
    • 0033281518 scopus 로고    scopus 로고
    • Some PAC-Bayesian theorems
    • D. McAllester Some PAC-Bayesian theorems Machine Learning 37 3 1999 355 363
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 355-363
    • McAllester, D.1
  • 10
    • 84899013108 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • Ng, A., Jordan, M., Weiss, Y., 2002. On spectral clustering: analysis and an algorithm. In: NIPS 14, pp. 849-856.
    • (2002) NIPS , vol.14 , pp. 849-856
    • Ng, A.1    Jordan, M.2    Weiss, Y.3
  • 11
    • 0005977840 scopus 로고    scopus 로고
    • Learning with labeled and unlabeled data
    • Seeger, M., 2002. Learning with labeled and unlabeled data. Tech. rep. Available at http://www.dai.ed.ac.uk/homes/seeger/papers/.
    • (2002) Tech. Rep.
    • Seeger, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.