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Volumn 18, Issue 2, 2004, Pages 107-122

A derivation of minimum classification error from the theoretical classification risk using Parzen estimation

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COSTS; ESTIMATION; PATTERN RECOGNITION; PROBABILITY; SPEECH RECOGNITION;

EID: 1642269041     PISSN: 08852308     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0885-2308(03)00037-8     Document Type: Article
Times cited : (25)

References (29)
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    • (1987)
    • Brown, P.F.1
  • 8
    • 0003578240 scopus 로고
    • An empirical study of learning speed in back-propagation networks
    • Technical Report CMU-CS-88-162, Carnegie Mellon University
    • Fahlman, S.E., 1988. An empirical study of learning speed in back-propagation networks, Technical Report CMU-CS-88-162, Carnegie Mellon University.
    • (1988)
    • Fahlman, S.E.1
  • 12
    • 0025952278 scopus 로고
    • An inequality for rational functions with applications to some statistical estimation problems
    • Gopalakrishnan, P.S., Kanevsky, D., Nadas, A., Nahamoo, D., 1991. An inequality for rational functions with applications to some statistical estimation problems. Transactions on Information Theory 37 (1), 107-113.
    • (1991) Transactions on Information Theory , vol.37 , Issue.1 , pp. 107-113
    • Gopalakrishnan, P.S.1    Kanevsky, D.2    Nadas, A.3    Nahamoo, D.4
  • 13
    • 0004009265 scopus 로고
    • A differential theory of learning for efficient statistical pattern recognition
    • PhD Thesis, Department of Electrical and Computer Engineering, Carnegie Mellon University
    • Hampshire, J., 1993. A differential theory of learning for efficient statistical pattern recognition. PhD Thesis, Department of Electrical and Computer Engineering, Carnegie Mellon University.
    • (1993)
    • Hampshire, J.1
  • 14
    • 0026982122 scopus 로고
    • Discriminative learning for minimum error classification
    • Juang, B.-H., Katagiri, S., 1992a. Discriminative learning for minimum error classification. IEEE Transactions on Signal Processing 40 (12), 3043-3053.
    • (1992) IEEE Transactions on Signal Processing , vol.40 , Issue.12 , pp. 3043-3053
    • Juang, B.-H.1    Katagiri, S.2
  • 19
    • 0032203256 scopus 로고    scopus 로고
    • Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method
    • Katagari, S., Juang, B.-H., Lee, C.-H., 1998. Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method. Proceedings of the IEEE 86 (11), 2345-2373.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2345-2373
    • Katagari, S.1    Juang, B.-H.2    Lee, C.-H.3
  • 22
    • 0028531044 scopus 로고
    • Prototype based discriminative training for various speech units
    • McDermott, E., Katagiri, S., 1994. Prototype based discriminative training for various speech units. Computer Speech and Language 8, 351-368.
    • (1994) Computer Speech and Language , vol.8 , pp. 351-368
    • McDermott, E.1    Katagiri, S.2
  • 23
    • 0010020054 scopus 로고    scopus 로고
    • Discriminative training for speech recognition
    • Doctoral thesis, Waseda University, Tokyo
    • McDermott, E., 1997. Discriminative training for speech recognition. Doctoral thesis, Waseda University, Tokyo.
    • (1997)
    • McDermott, E.1
  • 27
    • 0003459132 scopus 로고
    • Hidden Markov models, maximum mutual information estimation, and the speech recognition problem
    • PhD Thesis, Department of Electrical Engineering, McGill University, Montreal
    • Normandin, Y., 1991. Hidden Markov models, Maximum Mutual Information Estimation, and the speech recognition problem. PhD Thesis, Department of Electrical Engineering, McGill University, Montreal.
    • (1991)
    • Normandin, Y.1
  • 29
    • 0036461035 scopus 로고    scopus 로고
    • Large scale discriminative training of hidden Markov models for speech recognition
    • Woodland, P., Povey, D., 2002. Large scale discriminative training of hidden Markov models for speech recognition. Computer Speech and Language 16, 25-47.
    • (2002) Computer Speech and Language , vol.16 , pp. 25-47
    • Woodland, P.1    Povey, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.