메뉴 건너뛰기




Volumn 191, Issue 1, 2006, Pages 33-46

Modelling Lake Glumsø with Q2 learning

Author keywords

Machine learning; Qualitative modelling; Qualitative reasoning

Indexed keywords

ALGORITHMS; ECOSYSTEMS;

EID: 28444479042     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.08.005     Document Type: Conference Paper
Times cited : (4)

References (35)
  • 1
    • 0001011612 scopus 로고
    • Learning from hints in neural networks
    • Y.S. Abu-Mostafa Learning from hints in neural networks J. Complex 6 2 1990 192 198
    • (1990) J. Complex , vol.6 , Issue.2 , pp. 192-198
    • Abu-Mostafa, Y.S.1
  • 2
    • 28444487546 scopus 로고    scopus 로고
    • Application of automated model discovery from data and expert knowledge to real world domain: Lake Glumsoe, Denmark
    • Accepted 19-23 September, Pushchino, Moscow Region, Russia.
    • Atanasova, N., Todorovski, L., Džeroski, S., Kompare, B., 2005. Application of automated model discovery from data and expert knowledge to real world domain: Lake Glumsoe, Denmark. Accepted at Fifth European Conference on Ecological Modelling (ECEM5), 19-23 September, Pushchino, Moscow Region, Russia.
    • (2005) Fifth European Conference on Ecological Modelling (ECEM5)
    • Atanasova, N.1    Todorovski, L.2    Džeroski, S.3    Kompare, B.4
  • 4
    • 0035568721 scopus 로고    scopus 로고
    • A hybrid input-output approach to model metabolic systems: An application to intracellular thiamine kinetics
    • R. Bellazzi, R. Guglielmann, and L. Ironi A hybrid input-output approach to model metabolic systems: an application to intracellular thiamine kinetics J. Biomed. Inform. 24 2001 221 248
    • (2001) J. Biomed. Inform. , vol.24 , pp. 221-248
    • Bellazzi, R.1    Guglielmann, R.2    Ironi, L.3
  • 5
    • 0032168021 scopus 로고    scopus 로고
    • Qualitative models and fuzzy systems: An integrated approach for learning from data
    • R. Bellazzi, L. Ironi, R. Guglielmann, and M. Stefanelli Qualitative models and fuzzy systems: an integrated approach for learning from data Artif. Intell. Med. 14 1998 5 28
    • (1998) Artif. Intell. Med. , vol.14 , pp. 5-28
    • Bellazzi, R.1    Ironi, L.2    Guglielmann, R.3    Stefanelli, M.4
  • 10
    • 0030493826 scopus 로고    scopus 로고
    • A reflective Newton method for minimizing a quadratic function subject to bounds on some of the variables
    • T. Coleman, and Y. Li A reflective Newton method for minimizing a quadratic function subject to bounds on some of the variables SIAM J. Optim. 6 4 1996 1040 1058
    • (1996) SIAM J. Optim. , vol.6 , Issue.4 , pp. 1040-1058
    • Coleman, T.1    Li, Y.2
  • 11
    • 0018991720 scopus 로고
    • A family of embedded Runge-Kutta formulae
    • J.R. Dormand, and P.J. Prince A family of embedded Runge-Kutta formulae J. Comp. Appl. Math. 6 1980 19 26
    • (1980) J. Comp. Appl. Math. , vol.6 , pp. 19-26
    • Dormand, J.R.1    Prince, P.J.2
  • 12
    • 0029220108 scopus 로고
    • Discovering dynamics: From inductive logic programming to machine discovery
    • S. Džeroski, and L. Todorovski Discovering dynamics: from inductive logic programming to machine discovery J. Intell. Inform. Syst. 4 1995 89 108
    • (1995) J. Intell. Inform. Syst. , vol.4 , pp. 89-108
    • Džeroski, S.1    Todorovski, L.2
  • 13
    • 0021613150 scopus 로고
    • Qualitative process theory
    • K. Forbus Qualitative process theory Artif. Intell. 24 1984 85 168
    • (1984) Artif. Intell. , vol.24 , pp. 85-168
    • Forbus, K.1
  • 16
    • 0033719887 scopus 로고    scopus 로고
    • Semi-quantitative system identification
    • H. Kay, B. Rinner, and B. Kuipers Semi-quantitative system identification Artif. Intell. 119 2000 103 140
    • (2000) Artif. Intell. , vol.119 , pp. 103-140
    • Kay, H.1    Rinner, B.2    Kuipers, B.3
  • 17
    • 0034517586 scopus 로고    scopus 로고
    • Estimating monotonic functions and their bounds
    • H. Kay, and L. Ungar Estimating monotonic functions and their bounds AIChE J. 46 12 2000 2426 2434
    • (2000) AIChE J. , vol.46 , Issue.12 , pp. 2426-2434
    • Kay, H.1    Ungar, L.2
  • 21
    • 8844261754 scopus 로고
    • The utility of knowledge in inductive learn.
    • M.J. Pazzani, and D.F. Kibler The utility of knowledge in inductive learn. Mach. Learning 9 1992 57 94
    • (1992) Mach. Learning , vol.9 , pp. 57-94
    • Pazzani, M.J.1    Kibler, D.F.2
  • 26
    • 0018015137 scopus 로고
    • Modelling by shortest data description
    • J. Rissanen Modelling by shortest data description Automatica 14 1978 465 471
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 27
    • 0030145238 scopus 로고    scopus 로고
    • Qualitative system identification: Deriving structure from behavior
    • A. Say, and S. Kuru Qualitative system identification: deriving structure from behavior Artif. Intell. 83 1996 75 141
    • (1996) Artif. Intell. , vol.83 , pp. 75-141
    • Say, A.1    Kuru, S.2
  • 30
    • 0344507131 scopus 로고    scopus 로고
    • Modelling and prediction of phytoplankton growth with equation discovery
    • L. Todorovski, S. Džeroski, and B. Kompare Modelling and prediction of phytoplankton growth with equation discovery Ecol. Modell. 113 1998 71 81
    • (1998) Ecol. Modell. , vol.113 , pp. 71-81
    • Todorovski, L.1    Džeroski, S.2    Kompare, B.3
  • 31
    • 22944486621 scopus 로고    scopus 로고
    • Frontiers in Artificial Intelligence and Applications. IOS Press, Amsterdam, The Netherlands.
    • Šuc, D., 2003. Machine Reconstruction of Human Control Strategies, vol. 99. Frontiers in Artificial Intelligence and Applications. IOS Press, Amsterdam, The Netherlands.
    • (2003) Machine Reconstruction of Human Control Strategies , vol.99
    • Šuc, D.1
  • 32
    • 9444242738 scopus 로고    scopus 로고
    • Improving numerical accuracy with qualitative constraints
    • Lavrač, N., Gamberger, D., Blockeel, H., Todorovski, L. (Eds.), Dubrovnik, Croatia.
    • Šuc, D., Bratko, I., 2003. Improving numerical accuracy with qualitative constraints. In: Lavrač, N., Gamberger, D., Blockeel, H., Todorovski, L. (Eds.), Proceedings of the 14th European Conference on Machine Learning, pp. 385-396, Dubrovnik, Croatia.
    • (2003) Proceedings of the 14th European Conference on Machine Learning , pp. 385-396
    • Šuc, D.1    Bratko, I.2
  • 34
    • 4344686215 scopus 로고    scopus 로고
    • Qualitatively faithful quantitative prediction
    • D. Šuc, D. Vladušič, and I. Bratko Qualitatively faithful quantitative prediction Artif. Intell. J. 158 2004 189 214
    • (2004) Artif. Intell. J. , vol.158 , pp. 189-214
    • Šuc, D.1    Vladušič, D.2    Bratko, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.