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Volumn 22, Issue , 2012, Pages 1350-1357

Active learning from multiple knowledge sources

Author keywords

[No Author keywords available]

Indexed keywords

ALUMINUM; INFORMATION THEORY;

EID: 84954199832     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (24)
  • 7
    • 0031209604 scopus 로고    scopus 로고
    • Selective sampling using the query by committee algorithm
    • Y. Freund, S. Seung, E. Shamir, and N. Tishby. Selective sampling using the query by committee algorithm. Machine Learning, 2-3:133-168, 1997.
    • (1997) Machine Learning , vol.2-3 , pp. 133-168
    • Freund, Y.1    Seung, S.2    Shamir, E.3    Tishby, N.4
  • 8
    • 67650566244 scopus 로고    scopus 로고
    • Crowdsourcing: Why the power of the crowd is driving the future of business
    • J. Howe. Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business. Crown Business, 2008.
    • (2008) Crown Business
    • Howe, J.1
  • 9
    • 79952398813 scopus 로고    scopus 로고
    • CoBayes: Bayesian knowledge corroboration with assessors of unknown areas of expertise
    • G. Kasneci, J. V. Gael, D. Stern, and T. Graepel. CoBayes: Bayesian knowledge corroboration with assessors of unknown areas of expertise. In Conference on Web Search and Data Mining, pages 465-474, 2011.
    • (2011) Conference on Web Search and Data Mining , pp. 465-474
    • Kasneci, G.1    Gael, J.V.2    Stern, D.3    Graepel, T.4
  • 10
    • 85013879626 scopus 로고
    • A sequential algorithm for training text classifiers
    • D. Lewis and W. Gale. A sequential algorithm for training text classifiers. In SIGIR, pages 3-12, 1994.
    • (1994) SIGIR , pp. 3-12
    • Lewis, D.1    Gale, W.2
  • 11
    • 0001249987 scopus 로고
    • On a measure of the information provided by an experiment
    • D. Lindley. On a measure of the information provided by an experiment. Ann. Math. Stat, 27:986-1005, 1956.
    • (1956) Ann. Math. Stat , vol.27 , pp. 986-1005
    • Lindley, D.1
  • 12
    • 0000695404 scopus 로고
    • Information-based objective functions for active data selection
    • D. MacKay. Information-based objective functions for active data selection. Neural Computation, 4:590-604, 1992.
    • (1992) Neural Computation , vol.4 , pp. 590-604
    • MacKay, D.1
  • 16
    • 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 18th International Conference on Machine Learning, pages 444-448, 2001.
    • (2001) 18th International Conference on Machine Learning , pp. 444-448
    • Roy, N.1    McCallum, A.2
  • 20
    • 65449144451 scopus 로고    scopus 로고
    • Get another label? Improving data quality and data mining using multiple, noisy labelers
    • V. S. Sheng, F. Provost, and P. G. Ipeirotis. Get another label? Improving data quality and data mining using multiple, noisy labelers. In Knowledge Discovery and Data Mining (KDD), pages 614-622, 2008.
    • (2008) Knowledge Discovery and Data Mining (KDD) , pp. 614-622
    • Sheng, V.S.1    Provost, F.2    Ipeirotis, P.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.