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Volumn 5, Issue , 2009, Pages 240-247

Maximum entropy density estimation with incomplete presence-only data

Author keywords

[No Author keywords available]

Indexed keywords

INCOMPLETE DATA; LEARNING PROCESS; MAXIMUM ENTROPY; MISSING DATA; PRINCIPLE OF MAXIMUM ENTROPY;

EID: 84862298838     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 1
    • 0002652285 scopus 로고    scopus 로고
    • A maximum entropy approach to natural language processing
    • Berger, A., Pietra, S., & Pietra, V. (1996). A maximum entropy approach to natural language processing. Computational Linguistics, 22, 39-71.
    • (1996) Computational Linguistics , vol.22 , pp. 39-71
    • Berger, A.1    Pietra, S.2    Pietra, V.3
  • 5
    • 84864038934 scopus 로고    scopus 로고
    • Correcting sample selection bias in maximum entropy density estimation
    • Y. Weiss, B. Schölkopf and J. Platt (Eds.), Cambridge, MA: MIT Press
    • Dudík, M., Phillips, S., & Schapire, R. (2006). Correcting sample selection bias in maximum entropy density estimation. In Y. Weiss, B. Schölkopf and J. Platt (Eds.), Advances in neural information processing systems 18, 323-330. Cambridge, MA: MIT Press.
    • (2006) Advances in Neural Information Processing Systems , vol.18 , pp. 323-330
    • Dudík, M.1    Phillips, S.2    Schapire, R.3
  • 6
    • 33746050365 scopus 로고    scopus 로고
    • Maximum entropy distribution estimation with generalized regularization
    • Pittsburgh, PA, USA, June 22-25, 2006, Proceedings
    • Dudík, M., & Schapire, R. (2006). Maximum entropy distribution estimation with generalized regularization. Learning Theory, 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings (pp. 123-138).
    • (2006) Learning Theory, 19th Annual Conference on Learning Theory, COLT 2006 , pp. 123-138
    • Dudík, M.1    Schapire, R.2
  • 7
    • 0001551844 scopus 로고
    • Supervised learning from incomplete data via an EM approach
    • Morgan Kaufmann Publishers, Inc
    • Ghahramani, Z., & Jordan, M. (1994). Supervised learning from incomplete data via an EM approach. Advances in Neural Information Processing Systems (pp. 120-127). Morgan Kaufmann Publishers, Inc.
    • (1994) Advances in Neural Information Processing Systems , pp. 120-127
    • Ghahramani, Z.1    Jordan, M.2
  • 9
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • Phillips, S., Anderson, R., & Schapire, R. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190, 231-259.
    • (2006) Ecological Modelling , vol.190 , pp. 231-259
    • Phillips, S.1    Anderson, R.2    Schapire, R.3
  • 11
    • 0035284320 scopus 로고    scopus 로고
    • Analysis of incomplete climate data: Estimation of mean values and covariance matrices and imputation of missing values
    • Schneider, T. (2001). Analysis of incomplete climate data: Estimation of mean values and covariance matrices and imputation of missing values. Journal of Climate, 14, 853871.
    • (2001) Journal of Climate , vol.14 , pp. 853871
    • Schneider, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.