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Volumn 2017-December, Issue , 2017, Pages 2982-2990

Deep lattice networks and partial monotonic functions

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; PIECEWISE LINEAR TECHNIQUES; STOCHASTIC SYSTEMS;

EID: 85047020173     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (148)

References (19)
  • 7
    • 84990556304 scopus 로고
    • Application of the back propagation neural network algorithm with monotonicity constraints for two-group classification problems
    • N. P. Archer and S. Wang. Application of the back propagation neural network algorithm with monotonicity constraints for two-group classification problems. Decision Sciences, 24(1):60-75, 1993.
    • (1993) Decision Sciences , vol.24 , Issue.1 , pp. 60-75
    • Archer, N.P.1    Wang, S.2
  • 8
    • 0001064620 scopus 로고
    • A neural network method of density estimation for univariate unimodal data
    • S. Wang. A neural network method of density estimation for univariate unimodal data. Neural Computing & Applications, 2(3):160-167, 1994.
    • (1994) Neural Computing & Applications , vol.2 , Issue.3 , pp. 160-167
    • Wang, S.1
  • 9
    • 0034517586 scopus 로고    scopus 로고
    • Estimating monotonic functions and their bounds
    • H. Kay and L. H. Ungar. Estimating monotonic functions and their bounds. AIChE Journal, 46(12):2426-2434, 2000.
    • (2000) AIChE Journal , vol.46 , Issue.12 , pp. 2426-2434
    • Kay, H.1    Ungar, L.H.2
  • 11
    • 77950297986 scopus 로고    scopus 로고
    • Comparison of universal approximators incorporating partial monotonicity by structure
    • A. Minin, M. Velikova, B. Lang, and H. Daniels. Comparison of universal approximators incorporating partial monotonicity by structure. Neural Networks, 23(4):471-475, 2010.
    • (2010) Neural Networks , vol.23 , Issue.4 , pp. 471-475
    • Minin, A.1    Velikova, M.2    Lang, B.3    Daniels, H.4
  • 12
    • 77953123580 scopus 로고    scopus 로고
    • Monotone and partially monotone neural networks
    • H. Daniels and M. Velikova. Monotone and partially monotone neural networks. IEEE Trans. Neural Networks, 21(6):906-917, 2010.
    • (2010) IEEE Trans. Neural Networks , vol.21 , Issue.6 , pp. 906-917
    • Daniels, H.1    Velikova, M.2
  • 18
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends® in Machine Learning, 3(1):1-122, 2011.
    • (2011) Foundations and Trends® in Machine Learning , vol.3 , Issue.1 , pp. 1-122
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.