메뉴 건너뛰기




Volumn 14, Issue 8, 2001, Pages 1049-1060

Algebraic geometrical methods for hierarchical learning machines

Author keywords

Algebraic geometry; Asymptotic expansion; Generalization error; Non identifiable model; Resolution of singularities; Stochastic complexity

Indexed keywords

ALGORITHMS; GEOMETRY; MATRIX ALGEBRA; PROBABILITY DISTRIBUTIONS; RADIAL BASIS FUNCTION NETWORKS;

EID: 0034842476     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(01)00069-7     Document Type: Article
Times cited : (91)

References (39)
  • 8
    • 0001325515 scopus 로고
    • Approximation and estimation bounds for artificial neural networks
    • (1994) Machine Learning , vol.14 , Issue.1 , pp. 115-133
    • Barron, A.R.1
  • 14
    • 0030198493 scopus 로고    scopus 로고
    • A regularity condition of information matrix of a multilayer perceptron network
    • (1996) Neural Networks , vol.9 , pp. 871-879
    • Fukumizu, K.1
  • 23
    • 0030221021 scopus 로고    scopus 로고
    • An integral representation with ridge functions and approximation bounds of three-layered network
    • (1996) Neural Networks , vol.9 , Issue.6 , pp. 947-956
    • Murata, N.1
  • 29
    • 0000839087 scopus 로고    scopus 로고
    • On the generalization error by a layered statistical model with Bayesian estimation
    • (1998) IEICE Transactions , vol.J81-A , pp. 1442-1452
    • Watanabe, S.1
  • 35
    • 0003780218 scopus 로고    scopus 로고
    • Training and generalization errors of the hierarchical learning machines with algebraic singularities
    • (2001) IEICE Transactions , vol.J84A , Issue.1 , pp. 99-108
    • Watanabe, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.