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Volumn 3, Issue 1, 2001, Pages 10-20

Learning-theoretic approach to model-set identification

Author keywords

Agnostic learning theory; Law of large numbers; Model set identification; Robust control; Sample complexity

Indexed keywords

LEARNING ALGORITHMS; NONLINEAR SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); UNCERTAIN SYSTEMS;

EID: 0035264013     PISSN: 15618625     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1934-6093.2001.tb00037.x     Document Type: Article
Times cited : (2)

References (26)
  • 6
    • 0002192516 scopus 로고
    • Decision theoretic generalizations of the PAC model for neural net and other learning applications
    • (1992) Inf. Comput. , vol.100 , Issue.1 , pp. 78-150
    • Haussler, D.1
  • 10
    • 0026258792 scopus 로고
    • Optimal estimation theory for dynamic systems with set membership uncertainty: An overview
    • (1991) Automatica , vol.27 , Issue.6 , pp. 977-1009
    • Milanese, M.1    Vicino, A.2
  • 26
    • 0024685548 scopus 로고
    • Estimation of transfer functions: Asymptotic theory and a bound of model uncertainty
    • (1989) Int. J. Contr. , vol.49 , Issue.6 , pp. 2241-2258
    • Zhu, Y.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.