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Volumn , Issue , 2010, Pages

Gaussian Process preference elicitation

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC);

EID: 85162048506     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (80)

References (16)
  • 1
    • 0035577808 scopus 로고    scopus 로고
    • A taxonomy of global optimization methods based on response surfaces
    • Donald R. Jones. A taxonomy of global optimization methods based on response surfaces. Journal of Global Optimization, 21(4):345-383, 2001.
    • (2001) Journal of Global Optimization , vol.21 , Issue.4 , pp. 345-383
    • Jones, D.R.1
  • 4
    • 68349084609 scopus 로고    scopus 로고
    • Eliciting single-peaked preferences using comparison queries
    • Vincent Conitzer. Eliciting single-peaked preferences using comparison queries. Journal of Artificial Intelligence Research, 35:161-191, 2009.
    • (2009) Journal of Artificial Intelligence Research , vol.35 , pp. 161-191
    • Conitzer, V.1
  • 5
    • 85161977902 scopus 로고    scopus 로고
    • Multi-task Gaussian process prediction
    • J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors. MIT Press, Cambridge, MA
    • Edwin V. Bonilla, Kian Ming A. Chai, and Christopher K. I. Williams. Multi-task Gaussian process prediction. In J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, pages 153-160. MIT Press, Cambridge, MA, 2008.
    • (2008) Advances in Neural Information Processing Systems , vol.20 , pp. 153-160
    • Bonilla, E.V.1    Chai, K.M.A.2    Williams, C.K.I.3
  • 9
    • 0036930295 scopus 로고    scopus 로고
    • A POMDP formulation of preference elicitation problems
    • Menlo Park, CA, USA. American Association for Artificial Intelligence
    • Craig Boutilier. A POMDP formulation of preference elicitation problems. In Proceedings of the 18th National Conference on Artificial Intelligence, pages 239-246, Menlo Park, CA, USA, 2002. American Association for Artificial Intelligence.
    • (2002) Proceedings of the 18th National Conference on Artificial Intelligence , pp. 239-246
    • Boutilier, C.1
  • 10
    • 77649237394 scopus 로고    scopus 로고
    • Multi-task preference learning with an application to hearing aid personalization
    • Adriana Birlutiu, Perry Groot, and Tom Heskes. Multi-task preference learning with an application to hearing aid personalization. Neurocomputing, 73(7-9):1177-1185, 2010.
    • (2010) Neurocomputing , vol.73 , Issue.7-9 , pp. 1177-1185
    • Birlutiu, A.1    Groot, P.2    Heskes, T.3
  • 14
    • 85161994270 scopus 로고    scopus 로고
    • Active preference learning with discrete choice data
    • J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors. MIT Press, Cambridge, MA
    • Brochu Eric, Nando De Freitas, and Abhijeet Ghosh. Active preference learning with discrete choice data. In J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, pages 409-416. MIT Press, Cambridge, MA, 2008.
    • (2008) Advances in Neural Information Processing Systems , vol.20 , pp. 409-416
    • Eric, B.1    De Freitas, N.2    Ghosh, A.3
  • 15
    • 0001859044 scopus 로고
    • A technique for the measurement of attitudes
    • Rensis Likert. A technique for the measurement of attitudes. Archives of Psychology, 22(140):1-55, 1932.
    • (1932) Archives of Psychology , vol.22 , Issue.140 , pp. 1-55
    • Likert, R.1
  • 16
    • 29144453489 scopus 로고    scopus 로고
    • A unifying view of sparse approximate Gaussian process regression
    • Joaquin Quiñonero Candela and Carl Edward Rasmussen. A unifying view of sparse approximate Gaussian process regression. Journal of Machine Learning Research, 6:1939-1959, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1939-1959
    • Candela, J.Q.1    Rasmussen, C.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.