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Volumn , Issue , 2010, Pages 418-425

User-based active learning

Author keywords

Active learning; Information visualization; User behavior; Visualization

Indexed keywords

ACTIVE LEARNING; DATA SETS; INFORMATION VISUALIZATION; INTERACTIVE VISUALIZATIONS; POSTERIORI; ROBUST APPROACHES; SAMPLING METHOD; TRAINING DATA; USER BEHAVIOR; USER SELECTION;

EID: 79951750814     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2010.181     Document Type: Conference Paper
Times cited : (44)

References (15)
  • 1
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    • Morristown, NJ, USA, Association for Computational Linguistics
    • Jason Baldridge and Alexis Palmer. How well does active learning actually work?: Time-based evaluation of costreduction strategies for language documentation. In Proc. of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 296-305, Morristown, NJ, USA, 2009. Association for Computational Linguistics.
    • (2009) Proc. of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pp. 296-305
    • Baldridge, J.1    Palmer, A.2
  • 4
    • 49649136358 scopus 로고
    • An efficient algorithm for determining the convex hull of a finite planar set
    • Ronald L. Graham. An efficient algorithm for determining the convex hull of a finite planar set. Inf. Process. Lett., 1(4):132-133, 1972.
    • (1972) Inf. Process. Lett. , vol.1 , Issue.4 , pp. 132-133
    • Graham, R.L.1
  • 9
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • MIT Press
    • John C. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances in Large Margin Classifiers, pages 61-74. MIT Press, 1999.
    • (1999) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.C.1
  • 10
    • 34548168342 scopus 로고    scopus 로고
    • Active learning for logistic regression: An evaluation
    • DOI 10.1007/s10994-007-5019-5
    • Andrew I. Schein and Lyle H. Ungar. Active learning for logistic regression: an evaluation. Mach. Learn., 68(3):235- 265, 2007. (Pubitemid 47312489)
    • (2007) Machine Learning , vol.68 , Issue.3 , pp. 235-265
    • Schein, A.I.1    Ungar, L.H.2
  • 12
    • 68949137209 scopus 로고    scopus 로고
    • Active learning literature survey
    • University of Wisconsin-Madison
    • Burr Settles. Active learning literature survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison, 2010.
    • (2010) Computer Sciences Technical Report 1648
    • Settles, B.1
  • 13
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • Claude E. Shannon. A mathematical theory of communication. Bell System Technical Journal, 27:379-423, 1948.
    • (1948) Bell System Technical Journal , vol.27 , pp. 379-423
    • Shannon, C.E.1
  • 15
    • 77956208474 scopus 로고    scopus 로고
    • A web survey on the use of active learning to support annotation of text data
    • Morristown, NJ, USA, Association for Computational Linguistics
    • Katrin Tomanek and Fredrik Olsson. A web survey on the use of active learning to support annotation of text data. In Proc. of the NAACL Workshop on Active Learning for Natural Language Processing (HLT), pages 45-48, Morristown, NJ, USA, 2009. Association for Computational Linguistics.
    • (2009) Proc. of the NAACL Workshop on Active Learning for Natural Language Processing (HLT) , pp. 45-48
    • Tomanek, K.1    Olsson, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.