메뉴 건너뛰기




Volumn , Issue , 2005, Pages

A machine learning approach to conjoint analysis

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; SURVEYS;

EID: 31844453941     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (18)
  • 6
    • 0030506691 scopus 로고    scopus 로고
    • The importance of utility balance in efficient choice designs
    • Journal
    • J. Huber and K. Zwerina. The importance of utility balance in efficient choice designs. Journal of Marketing Research, 33, 1996.
    • (1996) Of Marketing Research , vol.33
    • Huber, J.1    Zwerina, K.2
  • 8
    • 0042685161 scopus 로고    scopus 로고
    • Bayesian logistic regression: A variational approach
    • T. S. Jaakkola and M. I. Jordan. Bayesian logistic regression: A variational approach. Statistics and Computing, 10:25-37, 2000.
    • (2000) Statistics and Computing , vol.10 , pp. 25-37
    • Jaakkola, T.S.1    Jordan, M.I.2
  • 11
    • 84894079528 scopus 로고    scopus 로고
    • Research paper series. Available at
    • Sawtooth Software. Research paper series. Available at www.sawtoothsoftware.com/techpap.shtml#hbrel.
    • Sawtooth Software
  • 15
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • S. Tong and D. Koller. Support vector machine active learning with applications to text classification. In Journal of Machine Learning Research, volume 2, 2001.
    • (2001) Journal of Machine Learning Research , vol.2
    • Tong, S.1    Koller, D.2
  • 16
    • 1442283678 scopus 로고    scopus 로고
    • Polyhedral methods for adaptive choicebased conjoint analysis
    • O. Toubia, J. R. Hauser, and D. I. Simester. Polyhedral methods for adaptive choicebased conjoint analysis. Journal of Marketing Research, 41(1):116-131, 2004.
    • (2004) Journal of Marketing Research , vol.41 , Issue.1 , pp. 116-131
    • Toubia, O.1    Hauser, J.R.2    Simester, D.I.3
  • 17
    • 0034264380 scopus 로고    scopus 로고
    • Bounds on error expectation for support vector machines
    • V. Vapnik and O. Chapelle. Bounds on error expectation for support vector machines. Neural Computation, 12(9), 2000.
    • (2000) Neural Computation , vol.12 , Issue.9
    • Vapnik, V.1    Chapelle, O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.