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Volumn 4264 LNAI, Issue , 2006, Pages 63-77

Active learning in the non-realizable case

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; PARAMETER ESTIMATION; QUERY LANGUAGES; STATISTICAL METHODS;

EID: 33750727664     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11894841_9     Document Type: Conference Paper
Times cited : (72)

References (14)
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    • (1997) Machine Learning , vol.28 , Issue.2-3 , pp. 133-168
    • Freund, Y.1    Seung, H.S.2    Shamir, E.3    Tishby, N.4
  • 2
    • 26944439047 scopus 로고    scopus 로고
    • Analysis of perceptron-based active learning
    • Springer-Verlag
    • Sanjoy Dasgupta, Adam Tauman Kalai, and Claire Monteleoni. Analysis of perceptron-based active learning. In COLT'05, pages 249-263. Springer-Verlag, 2005.
    • (2005) COLT'05 , pp. 249-263
    • Dasgupta, S.1    Kalai, A.T.2    Monteleoni, C.3
  • 3
    • 71049162986 scopus 로고    scopus 로고
    • Coarse sample complexity bounds for active learning
    • Sanjoy Dasgupta. Coarse sample complexity bounds for active learning. In NIPS'05, 2005.
    • (2005) NIPS'05
    • Dasgupta, S.1
  • 5
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Simon Tong and Daphne 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
  • 6
    • 0000492326 scopus 로고
    • Learning from noisy examples
    • Dana Angluin and Philip Laird. Learning from noisy examples. Machine Learning, 2(4):343-370, 1987.
    • (1987) Machine Learning , vol.2 , Issue.4 , pp. 343-370
    • Angluin, D.1    Laird, P.2
  • 7
    • 0026119624 scopus 로고
    • On learning from queries and counterexamples in the presence of noise
    • Yasubumi Sakakibara. On learning from queries and counterexamples in the presence of noise. Information Processing Letters, 37(5):279-284, 1991.
    • (1991) Information Processing Letters , vol.37 , Issue.5 , pp. 279-284
    • Sakakibara, Y.1
  • 9
    • 0031620209 scopus 로고    scopus 로고
    • Improved lower bounds for learning from noisy examples: An information-theoretic approach
    • ACM Press
    • Claudio Gentile and David P. Helmbold. Improved lower bounds for learning from noisy examples: an information-theoretic approach. In COLT'98, pages 104-115. ACM Press, 1998.
    • (1998) COLT'98 , pp. 104-115
    • Gentile, C.1    Helmbold, D.P.2
  • 10
    • 84862123499 scopus 로고    scopus 로고
    • Adaptive sampling methods for scaling up knowledge discovery algorithms
    • Springer-Verlag
    • Carlos Domingo, Ricard Gavaldà, and Osamu Watanabe. Adaptive sampling methods for scaling up knowledge discovery algorithms. In DS'99, pages 172-183. Springer-Verlag, 1999.
    • (1999) DS'99 , pp. 172-183
    • Domingo, C.1    Gavaldà, R.2    Watanabe, O.3
  • 11
    • 33750682176 scopus 로고    scopus 로고
    • March. Personal communication
    • Rui Castro, March 2006. Personal communication.
    • (2006)
    • Castro, R.1
  • 12
  • 14
    • 0029220110 scopus 로고
    • Lower bounds for sampling algorithms for estimating the average
    • Ran Canetti, Guy Even, and Oded Goldreich. Lower bounds for sampling algorithms for estimating the average. Information Processing Letters, 53(1):17-25, 1995.
    • (1995) Information Processing Letters , vol.53 , Issue.1 , pp. 17-25
    • Canetti, R.1    Even, G.2    Goldreich, O.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.