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Volumn , Issue , 1995, Pages 381-387

Adaptive Mixture of Probabilistic Transducers

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS;

EID: 85156216125     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (13)
  • 1
    • 0000971250 scopus 로고
    • An input output HMM architecture
    • Y. Bengio and P. Fransconi. An input output HMM architecture. In NIPS-7, 1994.
    • (1994) NIPS-7
    • Bengio, Y.1    Fransconi, P.2
  • 5
    • 0001327717 scopus 로고
    • Learning and extracting finite state automata with second-order recurrent neural networks
    • C. L. Giles, C. B. Miller, D. Chen, G. Z. Sun, H. H. Chen, and Y. C. Lee. Learning and extracting finite state automata with second-order recurrent neural networks. Neural Computation, 4:393-405, 1992.
    • (1992) Neural Computation , vol.4 , pp. 393-405
    • Giles, C. L.1    Miller, C. B.2    Chen, D.3    Sun, G. Z.4    Chen, H. H.5    Lee, Y. C.6
  • 6
    • 0013445652 scopus 로고
    • How well do Bayes methods work for on-line prediction of {+1, -1} values?
    • D. Haussler and A. Barron. How well do Bayes methods work for on-line prediction of {+1, -1} values? In The 3rd NEC Symp. on Comput. and Cogn., 1993.
    • (1993) The 3rd NEC Symp. on Comput. and Cogn
    • Haussler, D.1    Barron, A.2
  • 7
    • 54949139410 scopus 로고
    • Predicting nearly as well as the best pruning of a decision tree
    • D. P. Helmbold and R. E. Schapire. Predicting nearly as well as the best pruning of a decision tree. In COLTS, 1995.
    • (1995) COLTS
    • Helmbold, D. P.1    Schapire, R. E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.