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Volumn , Issue , 1995, Pages 204-210

Sample Complexity for Learning Recurrent Perceptron Mappings

Author keywords

[No Author keywords available]

Indexed keywords

LINEAR DIGITAL FILTERING; SAMPLE COMPLEXITY; TIGHT BOUND;

EID: 85156243422     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 1
    • 0000029787 scopus 로고
    • FIR and HR synapses, a new neural network architecture for time-series modeling
    • A. D. BACK and A. C. TSOI, FIR and HR synapses, a new neural network architecture for time-series modeling, Neural Computation, 3 (1991), pp. 375-385.
    • (1991) Neural Computation , vol.3 , pp. 375-385
    • BACK, A. D.1    TSOI, A. C.2
  • 2
    • 85153962684 scopus 로고
    • A comparison of discrete-time operator models for nonlinear system identification
    • Morgan Kaufmann Publishers, to appear
    • A. D. BACK and A. C. TSOI, A comparison of discrete-time operator models for nonlinear system identification, Advances in Neural Information Processing Systems (NIPS'94), Morgan Kaufmann Publishers, 1995, to appear.
    • (1995) Advances in Neural Information Processing Systems (NIPS'94)
    • BACK, A. D.1    TSOI, A. C.2
  • 3
    • 0026401538 scopus 로고
    • On the similarity of conditions for an open-eye channel and for signed filtered error adaptive filter stability
    • Brighton, UK, Dec. IEEE Publications, 1991
    • A. M. BAKSHO, S. DASGUPTA, J. S. GARNETT, and C. R. JOHNSON, On the similarity of conditions for an open-eye channel and for signed filtered error adaptive filter stability, Proc. IEEE Conf. Decision and Control, Brighton, UK, Dec. 1991, IEEE Publications, 1991, pp. 1786-1787.
    • (1991) Proc. IEEE Conf. Decision and Control , pp. 1786-1787
    • BAKSHO, A. M.1    DASGUPTA, S.2    GARNETT, J. S.3    JOHNSON, C. R.4
  • 5
    • 0024879982 scopus 로고
    • Extracting State Information from a Quantized Output Record
    • D. F. DELCHAMPS, Extracting State Information from a Quantized Output Record, Systems and Control Letters, 13 (1989), pp. 365-372.
    • (1989) Systems and Control Letters , vol.13 , pp. 365-372
    • DELCHAMPS, D. F.1
  • 8
    • 0029256399 scopus 로고
    • Bounding the Vapntk-Chervonenkis dimension of concept classes parameterized by real numbers
    • P. GOLDBERG and M. JERRUM, Bounding the Vapntk-Chervonenkis dimension of concept classes parameterized by real numbers, Mach Learning, 18, (1995): 131-148.
    • (1995) Mach Learning , vol.18 , pp. 131-148
    • GOLDBERG, P.1    JERRUM, M.2
  • 9
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural nets and other learning applications
    • D. HAUSSLER, Decision theoretic generalizations of the PAC model for neural nets and other learning applications, Information and Computation, 100, (1992): 78-150.
    • (1992) Information and Computation , vol.100 , pp. 78-150
    • HAUSSLER, D.1
  • 11
    • 0011900550 scopus 로고
    • Perspectives of current research about the complexity of learning in neural nets
    • P. Roychowdhury, K. Y. Siu, and A. Orlitsky, eds., Kluwer, Boston
    • W. MAASS, Perspectives of current research about the complexity of learning in neural nets, in Theoretical Advances in Neural Computation and Learning, v. P. Roychowdhury, K. Y. Siu, and A. Orlitsky, eds., Kluwer, Boston, 1994, pp. 295-336.
    • (1994) Theoretical Advances in Neural Computation and Learning , pp. 295-336
    • MAASS, W.1
  • 14
    • 33747144843 scopus 로고
    • Computational Learning Theory and Neural Neiworks:A Survey of Selected Topics
    • P. Roychowdhury, K. Y. Siu, and A. Orlitsky, eds., Kluwer, Boston
    • GYÖRGY TURÁN, Computational Learning Theory and Neural Neiworks:A Survey of Selected Topics, in Theoretical Advances in Neural Computation and Learning, v. P. Roychowdhury, K. Y. Siu, and A. Orlitsky, eds., Kluwer, Boston, 1994, pp. 243-293.
    • (1994) Theoretical Advances in Neural Computation and Learning , pp. 243-293
    • TURÁN, GYÖRGY1
  • 15
    • 0021518106 scopus 로고
    • A theory of the learnable
    • L. G. VALIANT, A theory of the learnable, Comm. ACM, 27, 1984, pp. 1134-1142.
    • (1984) Comm. ACM , vol.27 , pp. 1134-1142
    • VALIANT, L. G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.