메뉴 건너뛰기




Volumn , Issue , 2008, Pages 650-654

Learning from positive and unlabeled examples: A survey

Author keywords

[No Author keywords available]

Indexed keywords

MINING; SUPERVISED LEARNING; SURVEYS; TURBULENT FLOW; WEB SERVICES; WORLD WIDE WEB;

EID: 51749113827     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIP.2008.79     Document Type: Conference Paper
Times cited : (70)

References (15)
  • 1
    • 84961317343 scopus 로고    scopus 로고
    • PAC Learning from Positive Statistical Queries
    • Proc. of Workshop on Algorithmic Learning Theory, Springer, Heidelberg
    • F. Denis, "PAC Learning from Positive Statistical Queries", Proc. of Workshop on Algorithmic Learning Theory, LNCS, Springer, Heidelberg, 1998, pp. 112-126
    • (1998) LNCS , pp. 112-126
    • Denis, F.1
  • 2
    • 26944467374 scopus 로고    scopus 로고
    • Building Text Classifiers Using Positive and Unlabeled Examples
    • Melbourne, Florida, November
    • B. Liu, Y. Dai, X.L. Li, W. S. Lee, and Philip Y., "Building Text Classifiers Using Positive and Unlabeled Examples", ICDM-03, Melbourne, Florida, November 2003, pp. 19-22.
    • (2003) ICDM-03 , pp. 19-22
    • Liu, B.1    Dai, Y.2    Li, X.L.3    Lee, W.S.4    Philip, Y.5
  • 12
    • 51749099355 scopus 로고    scopus 로고
    • A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples
    • Harbin, China, January
    • B.Z. Zhang, and W.L. Zuo, "A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples", Proceedings of the Asia Information Retrieval Symposium 2008(AIRS 2008), Harbin, China, January 2008, pp. 393-400.
    • (2008) Proceedings of the Asia Information Retrieval Symposium 2008(AIRS 2008) , pp. 393-400
    • Zhang, B.Z.1    Zuo, W.L.2
  • 13
    • 33745632041 scopus 로고    scopus 로고
    • Extracting Initial and Reliable Negative Documents to Enhance Classification Performance
    • H. Wang, and W.L. Zuo, "Extracting Initial and Reliable Negative Documents to Enhance Classification Performance", KDLL 2006, pp. 104-111.
    • KDLL 2006 , pp. 104-111
    • Wang, H.1    Zuo, W.L.2
  • 14
    • 33646415640 scopus 로고    scopus 로고
    • Learning from Positive and Unlabeled Examples with Different Data Distributions
    • European Conference on Machine Learning ECML-05, Porto, Springer, October
    • X.L. Li, B. Liu, "Learning from Positive and Unlabeled Examples with Different Data Distributions", European Conference on Machine Learning (ECML-05), Porto, LNCS 3720, Springer, October 2005, pp. 218-229
    • (2005) LNCS , vol.3720 , pp. 218-229
    • Li, X.L.1    Liu, B.2
  • 15
    • 9444293384 scopus 로고    scopus 로고
    • Text Classification by Labeling Words
    • San Jose, California, USA. MIT Press, July
    • B. Liu, X.L. Li, W.S. Lee and P.S. Yu, "Text Classification by Labeling Words", AAAI-2004, San Jose, California, USA. MIT Press, July 2004, pp. 425-430.
    • (2004) AAAI-2004 , pp. 425-430
    • Liu, B.1    Li, X.L.2    Lee, W.S.3    Yu, P.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.