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Volumn , Issue , 2013, Pages 51-60

Maximizing expected model change for active learning in regression

Author keywords

Active learning; Expected Model Change Maximization; Linear Regression; Nonlinear regression

Indexed keywords


EID: 84894682543     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2013.104     Document Type: Conference Paper
Times cited : (204)

References (18)
  • 2
    • 0031209604 scopus 로고    scopus 로고
    • Selective sampling using the query by committee algorithm
    • Y. Freund, H.S. Seung, E. Shamir, and N. Tishby, Selective Sampling Using the Query by Committee Algorithm, Machine Learning, vol. 28, pp. 133-168, 1997.
    • (1997) Machine Learning , vol.28 , pp. 133-168
    • Freund, Y.1    Seung, H.S.2    Shamir, E.3    Tishby, N.4
  • 6
    • 0442319140 scopus 로고    scopus 로고
    • Toward optimal active learning through sampling estimation of error reduction
    • N. Roy and A. McCallum, "Toward Optimal Active Learning through Sampling Estimation of Error Reduction," In Proc. 18th Int'l Conf. Machine Learning (ICML'01), pp. 441-448, 2001.
    • (2001) Proc. 18th Int'l Conf. Machine Learning (ICML'01) , pp. 441-448
    • Roy, N.1    McCallum, A.2
  • 8
    • 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," Journal of Machine Learning Research, vol. 2, pp. 45-66, 2001.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 9
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. Friedman, "Greedy Function Approximation: A Gradient Boosting Machine," Annals of Statistics, pp. 1189-1232, 2001.
    • (2001) Annals of Statistics , pp. 1189-1232
    • Friedman, J.1
  • 13
    • 30744458353 scopus 로고    scopus 로고
    • Active learning in approximately linear regression based on conditional expectation of generalization error
    • M. Sugiyama, "Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error," Journal of Machine Learning Research, vol. 7, pp. 141-166, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 141-166
    • Sugiyama, M.1
  • 14
    • 67349146515 scopus 로고    scopus 로고
    • Pool-based active learning in approximate linear regression
    • M. Sugiyama and S. Nakajima, "Pool-based Active Learning in Approximate Linear Regression," Machine Learning, vol. 75, pp. 249-274, 2009.
    • (2009) Machine Learning , vol.75 , pp. 249-274
    • Sugiyama, M.1    Nakajima, S.2
  • 16
    • 33845604373 scopus 로고    scopus 로고
    • Bootstrap prediction and bayesian prediction under misspecified models
    • T. Fushiki, "Bootstrap Prediction and Bayesian Prediction under Misspecified Models," Bernoulli, vol. 11, no. 4, pp. 747-758, 2005.
    • (2005) Bernoulli , vol.11 , Issue.4 , pp. 747-758
    • Fushiki, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.