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Volumn , Issue , 2008, Pages 480-487

Active learning with direct query construction

Author keywords

Active learning; Classification; Supervised learning

Indexed keywords

ACTIVE LEARNERS; ACTIVE LEARNING; ACTIVE-LEARNING ALGORITHMS; CLASSIFICATION; DATA SCARCITIES; DECISION-TREE ALGORITHMS; LABELED DATUM; PREDICTIVE ERRORS; QUERY CONSTRUCTIONS;

EID: 65449185038     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1401950     Document Type: Conference Paper
Times cited : (14)

References (20)
  • 1
    • 0000710299 scopus 로고
    • Queries and concept learning
    • April
    • D. Angluin. Queries and concept learning. Machine Learning, 2(4):319-342, April 1988.
    • (1988) Machine Learning , vol.2 , Issue.4 , pp. 319-342
    • Angluin, D.1
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • October
    • L. Breiman. Random forests. Machine Learning, V45(1):5-32, October 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 5
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • D. A. Cohn, L. Atlas, and R. E. Ladner. Improving generalization with active learning. Machine Learning, 15(2):201-221, 1994.
    • (1994) Machine Learning , vol.15 , Issue.2 , pp. 201-221
    • Cohn, D.A.1    Atlas, L.2    Ladner, R.E.3
  • 6
    • 0031209604 scopus 로고    scopus 로고
    • Selective sampling using the query by committee algorithm
    • Y. Freund, S. H. Seung, E. Shamir, and N. Tishby. Selective sampling using the query by committee algorithm. Machine Learning, 28(2-3):133-168, 1997.
    • (1997) Machine Learning , vol.28 , Issue.2-3 , pp. 133-168
    • Freund, Y.1    Seung, S.H.2    Shamir, E.3    Tishby, N.4
  • 7
    • 0036680338 scopus 로고    scopus 로고
    • Learning cost-sensitive active classifiers
    • August
    • R. Greiner, A. J. Grove, and D. Roth. Learning cost-sensitive active classifiers. Artif. Intell., 139(2): 137-174, August 2002.
    • (2002) Artif. Intell , vol.139 , Issue.2 , pp. 137-174
    • Greiner, R.1    Grove, A.J.2    Roth, D.3
  • 9
    • 1242352526 scopus 로고    scopus 로고
    • Selective sampling for nearest neighbor classifiers
    • February
    • M. Lindenbaum, S. Markovitch, and D. Rusakov. Selective sampling for nearest neighbor classifiers. Machine Learning, 54(2): 125-152, February 2004.
    • (2004) Machine Learning , vol.54 , Issue.2 , pp. 125-152
    • Lindenbaum, M.1    Markovitch, S.2    Rusakov, D.3
  • 12
    • 65449164845 scopus 로고    scopus 로고
    • T. M. Mitchell. Machine Learning. McGraw-Hill Science/Engineering/ Math, March 1997.
    • T. M. Mitchell. Machine Learning. McGraw-Hill Science/Engineering/ Math, March 1997.
  • 13
    • 0042346121 scopus 로고    scopus 로고
    • Tree induction for probability-based ranking
    • September
    • F. Provost and P. Domingos. Tree induction for probability-based ranking. Machine Learning, 52(3): 199-215, September 2003.
    • (2003) Machine Learning , vol.52 , Issue.3 , pp. 199-215
    • Provost, F.1    Domingos, P.2
  • 15
    • 0442319140 scopus 로고    scopus 로고
    • Toward optimal active learning through sampling estimation of error reduction
    • Morgan Kaufmann, San Francisco, CA
    • N. Roy and A. Mccallum. Toward optimal active learning through sampling estimation of error reduction. In Proc. 18th International Conf. on Machine Learning, pages 441-448. Morgan Kaufmann, San Francisco, CA, 2001.
    • (2001) Proc. 18th International Conf. on Machine Learning , pp. 441-448
    • Roy, N.1    Mccallum, A.2
  • 16
    • 1242285091 scopus 로고    scopus 로고
    • Active sampling for class probability estimation and ranking
    • February
    • M. Saar-Tsechansky and F. Provost. Active sampling for class probability estimation and ranking. Machine Learning, 54(2):153-178, February 2004.
    • (2004) Machine Learning , vol.54 , Issue.2 , pp. 153-178
    • Saar-Tsechansky, M.1    Provost, F.2
  • 18
    • 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, 2:45-66, 2002.
    • (2002) Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 19
    • 0003957032 scopus 로고    scopus 로고
    • Data Mining: Practical Machine Learning Tools and Techniques
    • Morgan Kaufmann, second edition, June
    • I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann, second edition, June 2005.
    • (2005) Morgan Kaufmann Series in Data Management Systems
    • Witten, I.H.1    Frank, E.2
  • 20
    • 0005004572 scopus 로고    scopus 로고
    • A probability analysis on the value of unlabeled data for classification problems
    • T. Zhang and F. J. Oies. A probability analysis on the value of unlabeled data for classification problems. In Proc. 17th International Conf. on Machine Learning, pages 1191-1198, 2000.
    • (2000) Proc. 17th International Conf. on Machine Learning , pp. 1191-1198
    • Zhang, T.1    Oies, F.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.