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Volumn 6, Issue 2, 1993, Pages 161-166

A universal theorem on learning curves

Author keywords

Entropic error; Generalization error; Information gain; Learning curve; Universal theorem

Indexed keywords

AUTOMATA THEORY; ERROR ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; STATISTICAL MECHANICS; THEOREM PROVING;

EID: 0027257001     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(93)90013-M     Document Type: Article
Times cited : (79)

References (15)
  • 1
  • 10
    • 0344030230 scopus 로고
    • Network information criterion—Determining the number of hidden units for an artificial neural network model
    • University of Tokyo
    • (1992) METR , vol.92–05
    • Murata1    Yoshizawa2    Amari3
  • 14
    • 0021518106 scopus 로고
    • A theory of the learnable
    • (1984) Comm. ACM , vol.27 , Issue.11 , pp. 1134-1142
    • Valiant1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.