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Volumn , Issue , 2009, Pages 3721-3724

Co-adaptation: Adaptive co-training for semi-supervised learning

Author keywords

Co adaptation; Co training; Domain adaptation; Semi supervised learning

Indexed keywords

CO-ADAPTATION; CO-TRAINING; DOMAIN ADAPTATION; LABELED DATA; MULTI-VIEW LEARNING; PROSODIC FEATURES; SEMI-SUPERVISED LEARNING; UNLABELED DATA;

EID: 70349216566     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960435     Document Type: Conference Paper
Times cited : (32)

References (24)
  • 1
    • 0031620208 scopus 로고    scopus 로고
    • Combining labeled and unlabeled data with co-training
    • Madison,WI, July
    • A. Blum and T. Mitchell, "Combining labeled and unlabeled data with co-training," in Proceedings of the COLT, Madison,WI, July 1998.
    • (1998) Proceedings of the COLT
    • Blum, A.1    Mitchell, T.2
  • 2
    • 84862293242 scopus 로고    scopus 로고
    • Supervised and unsupervisedPCFG adaptation to novel domains
    • Edmonton, Canada, May
    • B. Roark and M. Bacchiani, "Supervised and unsupervisedPCFG adaptation to novel domains," in Proceedings of the HLT-NAACL, Edmonton, Canada, May 2003.
    • (2003) Proceedings of the HLT-NAACL
    • Roark, B.1    Bacchiani, M.2
  • 4
    • 85009171116 scopus 로고    scopus 로고
    • Exploiting unlabeled utterances for spoken language understanding
    • Geneva, Switzerland, September
    • G. Tur and D. Hakkani-Tür, "Exploiting unlabeled utterances for spoken language understanding," in Proceedings of the Eurospeech, Geneva, Switzerland, September 2003.
    • (2003) Proceedings of the Eurospeech
    • Tur, G.1    Hakkani-Tür, D.2
  • 5
    • 0030374907 scopus 로고    scopus 로고
    • Automatic linguistic segmentation of conversational speech
    • Philadelphia, PA
    • A. Stolcke and E. Shriberg, "Automatic linguistic segmentation of conversational speech," in Proceedings of ICSLP, Philadelphia, PA, 1996.
    • (1996) Proceedings of ICSLP
    • Stolcke, A.1    Shriberg, E.2
  • 9
    • 0034275920 scopus 로고    scopus 로고
    • Prosody-based automatic segmentation of speech into sentences and topics
    • E. Shriberg, A. Stolcke, D. Hakkani-Tür, and G. Tur, "Prosody-based automatic segmentation of speech into sentences and topics," Speech Communication, vol. 32, no. 1-2, pp. 127-154, 2000.
    • (2000) Speech Communication , vol.32 , Issue.1-2 , pp. 127-154
    • Shriberg, E.1    Stolcke, A.2    Hakkani-Tür, D.3    Tur, G.4
  • 14
    • 85136905861 scopus 로고    scopus 로고
    • Analyzing the effectiveness and applicability of co-training
    • McLean, VA
    • K. Nigam and R. Ghani, "Analyzing the effectiveness and applicability of co-training," in Proceedings of the CIKM, McLean, VA, 2000.
    • (2000) Proceedings of the CIKM
    • Nigam, K.1    Ghani, R.2
  • 15
    • 56149119877 scopus 로고    scopus 로고
    • Co-training using prosodic and lexical information for sentence segmentation
    • Antwerp, Belgium, August
    • U. Guz, D. Hakkani-Tür, S. Cuendet, and G. Tur, "Co-training using prosodic and lexical information for sentence segmentation," in Proceedings of the INTERSPEECH, Antwerp, Belgium, August 2007.
    • (2007) Proceedings of the INTERSPEECH
    • Guz, U.1    Hakkani-Tür, D.2    Cuendet, S.3    Tur, G.4
  • 16
    • 34547545797 scopus 로고    scopus 로고
    • Semi-supervised learning for part-of-speech tagging of mandarin transcribed speech
    • Honolulu, HI
    • W. Wang, Z. Huang, and M. Harper, "Semi-supervised learning for part-of-speech tagging of mandarin transcribed speech," in Proceedings of the ICASSP, Honolulu, HI, 2007.
    • (2007) Proceedings of the ICASSP
    • Wang, W.1    Huang, Z.2    Harper, M.3
  • 17
    • 0032050110 scopus 로고    scopus 로고
    • Maximumlikelihood linear transformations for HMMbased speech recognition
    • M. J. F. Gales, "Maximumlikelihood linear transformations for HMMbased speech recognition," Computer Speech and Language, vol. 12, pp. 75-98, 1998.
    • (1998) Computer Speech and Language , vol.12 , pp. 75-98
    • Gales, M.J.F.1
  • 18
    • 0028419019 scopus 로고
    • Maximum a posteriori estimation for multivariate Gaussian mixture observation of Markov chains
    • J.-L. Gauvain and C.-H. Lee, "Maximum a posteriori estimation for multivariate Gaussian mixture observation of Markov chains," IEEE Transactions on Speech and Audio Processing, vol. 2, no. 2, pp. 291-298, 1994.
    • (1994) IEEE Transactions on Speech and Audio Processing , vol.2 , Issue.2 , pp. 291-298
    • Gauvain, J.-L.1    Lee, C.-H.2
  • 20
    • 33646761617 scopus 로고    scopus 로고
    • Model adaptation for spoken language understanding
    • Philadelphia, PA, May
    • G. Tur, "Model adaptation for spoken language understanding," in Proceedings of the ICASSP, Philadelphia, PA, May 2005.
    • (2005) Proceedings of the ICASSP
    • Tur, G.1
  • 23
    • 33646773619 scopus 로고    scopus 로고
    • Automatic dialog act segmentation and classification in multiparty meetings
    • Philadelphia, PA, March
    • J. Ang,Y. Liu, and E. Shriberg, "Automatic dialog act segmentation and classification in multiparty meetings," in Proceedings of the ICASSP, Philadelphia, PA, March 2005.
    • (2005) Proceedings of the ICASSP
    • Ang, J.1    Liu, Y.2    Shriberg, E.3
  • 24
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based systemfor text categorization
    • R. E. Schapire andY. Singer, "Boostexter: A boosting-based systemfor text categorization," Machine Learning, vol. 39, no. 2/3, pp. 135-168, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire andY, R.E.1    Singer2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.