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Volumn , Issue , 2009, Pages 660-663

On the semi-supervised learning of multi-layered perceptrons

Author keywords

Neural networks; Phone classification; Semi supervised learning

Indexed keywords

CLASSIFICATION TASKS; GRAPH-BASED; MULTI-LAYERED; MULTILAYERED PERCEPTRONS; OBJECTIVE FUNCTIONS; PERCEPTRON; PHONE CLASSIFICATION; REGULARIZER; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; TRAINING SETS;

EID: 70450196429     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (22)
  • 2
    • 70450120911 scopus 로고    scopus 로고
    • Combining discriminative feature, transform, and model training for large vocabulary speech recognition
    • May
    • J. Zheng, "Combining discriminative feature, transform, and model training for large vocabulary speech recognition," in IEEE ICASSP, May 2007.
    • (2007) IEEE ICASSP
    • Zheng, J.1
  • 3
    • 0034848926 scopus 로고    scopus 로고
    • Tandem acoustic modeling in large-vocabulary recognition
    • May
    • D. P. W. Ellis, R. Singh, and S. Sivadas, "Tandem acoustic modeling in large-vocabulary recognition," in IEEE ICASSP, May 2001, pp. I-517-520.
    • (2001) IEEE ICASSP
    • Ellis, D.P.W.1    Singh, R.2    Sivadas, S.3
  • 5
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Y. LeCun, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," in Proceedings of the IEEE, 1998, pp. 2278-2324.
    • (1998) Proceedings of the IEEE , pp. 2278-2324
    • LeCun, Y.1    Bengio, Y.2    Haffner, P.3
  • 6
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. Tenenbaum, V. de Silva, and J. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, 2000.
    • (2000) Science , vol.290
    • Tenenbaum, J.1    de Silva, V.2    Langford, J.3
  • 10
    • 27744480560 scopus 로고    scopus 로고
    • Revisiting squared-error and cross-entropy functions for training neural network classifiers
    • Dec
    • D. M. Kline and V. L. Berardi, "Revisiting squared-error and cross-entropy functions for training neural network classifiers," Neural Computing and Applications, vol. 14, no. 4, pp. 310-318, Dec. 2005.
    • (2005) Neural Computing and Applications , vol.14 , Issue.4 , pp. 310-318
    • Kline, D.M.1    Berardi, V.L.2
  • 12
    • 31844438481 scopus 로고    scopus 로고
    • Harmonic mixtures: Combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
    • X. Zhu and J. Lafferty, "Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning," in Int'l Conf. on Machine Learning, 2005.
    • (2005) Int'l Conf. on Machine Learning
    • Zhu, X.1    Lafferty, J.2
  • 13
    • 44949085753 scopus 로고    scopus 로고
    • The Vocal Joystick data collection effort and vowel corpus
    • Pittsburgh, PA, Sept
    • K. Kilanski et al., "The Vocal Joystick data collection effort and vowel corpus," in Interspeech, Pittsburgh, PA, Sept. 2006.
    • (2006) Interspeech
    • Kilanski, K.1
  • 14
    • 80053289986 scopus 로고    scopus 로고
    • The Vocal Joystick: A voice-based human-computer interface for individuals with motor impairments
    • J. Bilmes et al., "The Vocal Joystick: A voice-based human-computer interface for individuals with motor impairments," in HLT-EMNLP, 2005.
    • (2005) HLT-EMNLP
    • Bilmes, J.1
  • 19
    • 33846259202 scopus 로고    scopus 로고
    • Maximum margin learning and adaptation of MLP classifiers
    • Lisbon, Portugal
    • X. Li, J. Bilmes, and J. Malkin, "Maximum margin learning and adaptation of MLP classifiers," in Interspeech, Lisbon, Portugal, 2005.
    • (2005) Interspeech
    • Li, X.1    Bilmes, J.2    Malkin, J.3
  • 20
    • 44849103158 scopus 로고    scopus 로고
    • Regularized adaptation: Theory, algorithms and applications,
    • Ph.D. dissertation, University of Washington, Seattle, WA, in preparation
    • X. Li, "Regularized adaptation: Theory, algorithms and applications," Ph.D. dissertation, University of Washington, Seattle, WA, 2007, in preparation.
    • (2007)
    • Li, X.1
  • 21
    • 70450154943 scopus 로고    scopus 로고
    • J. Malkin, A. Subramanya, and J. Bilmes, A semi-supervised learning algorithm for multi-layered perceptrons, U. Washington Dept. of Electrical Engineering, Tech. Rep. UWEETR-2009-0003, 2009.
    • J. Malkin, A. Subramanya, and J. Bilmes, "A semi-supervised learning algorithm for multi-layered perceptrons," U. Washington Dept. of Electrical Engineering, Tech. Rep. UWEETR-2009-0003, 2009.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.