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Volumn 2006, Issue , 2006, Pages 656-661

A new multi-view regression approach with an application to customer wallet estimation

Author keywords

Bayesian networks; Multi view learning; Regression

Indexed keywords

GRAPHIC METHODS; LEARNING SYSTEMS; LINEAR SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING;

EID: 33749556936     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1150402.1150483     Document Type: Conference Paper
Times cited : (12)

References (14)
  • 2
    • 33646436173 scopus 로고    scopus 로고
    • Estimation of mixture models using co-EM
    • S. Bickel and T. Scheffer. Estimation of mixture models using co-EM. In ECML, pages 35-46, 2005.
    • (2005) ECML , pp. 35-46
    • Bickel, S.1    Scheffer, T.2
  • 3
    • 0012479268 scopus 로고    scopus 로고
    • Latent variable models
    • MIT Press
    • C. M. Bishop. Latent variable models. In Learning in Graphical Models, pages 371-403. MIT Press, 1998.
    • (1998) Learning in Graphical Models , pp. 371-403
    • Bishop, C.M.1
  • 7
    • 33749552584 scopus 로고    scopus 로고
    • Share of wallet's role in customer profitability
    • R. Garland. Share of wallet's role in customer profitability. Journal of Financial Services Marketing, 8(8):259-268, 2004.
    • (2004) Journal of Financial Services Marketing , vol.8 , Issue.8 , pp. 259-268
    • Garland, R.1
  • 8
    • 0003846041 scopus 로고
    • A tutorial on learning with Bayesian networks
    • D. Heckerman. A tutorial on learning with Bayesian networks. Technical report, Microsoft Research, MSR-TR-95-06, 1995.
    • (1995) Technical Report, Microsoft Research , vol.MSR-TR-95-06
    • Heckerman, D.1
  • 9
    • 33749569778 scopus 로고    scopus 로고
    • A new multi-view regression method with an application to customer wallet estimation
    • IBM T.J. Watson Research
    • S. Merugu, S. Rosset, and C. Perlich. A new multi-view regression method with an application to customer wallet estimation. Technical report, IBM T.J. Watson Research, 2006.
    • (2006) Technical Report
    • Merugu, S.1    Rosset, S.2    Perlich, C.3
  • 10
    • 0002788893 scopus 로고    scopus 로고
    • A view of the em algorithm that justifies incremental, sparse, and other variants
    • MIT Press
    • R. Neal and G. Hinton. A view of the EM algorithm that justifies incremental, sparse, and other variants. In Learning in Graphical Models, pages 355-368. MIT Press, 1998.
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.1    Hinton, G.2
  • 11
    • 85136905861 scopus 로고    scopus 로고
    • Analyzing the effectiveness and applicability of co-training
    • K. Nigam and R. Ghani. Analyzing the effectiveness and applicability of co-training. In CIKM, pages 86-93, 2000.
    • (2000) CIKM , pp. 86-93
    • Nigam, K.1    Ghani, R.2
  • 12
    • 0242625269 scopus 로고    scopus 로고
    • Customer lifetime value modeling and its use for customer retention planning
    • S. Rosset, E. Neumann, U. Eick, N. Vatnik, and Y. Idan. Customer lifetime value modeling and its use for customer retention planning. In KDD, pages 332-340, 2002.
    • (2002) KDD , pp. 332-340
    • Rosset, S.1    Neumann, E.2    Eick, U.3    Vatnik, N.4    Idan, Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.