메뉴 건너뛰기




Volumn , Issue , 2007, Pages 87-94

Extracting constraints for process modeling

Author keywords

Declarative bias; Inductive process modeling

Indexed keywords

INDUCTIVE PROCESS; LOGICAL FORMALISM; MODEL CONSTRUCTION; PROCESS MODELING;

EID: 42149135462     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1298406.1298423     Document Type: Conference Paper
Times cited : (4)

References (29)
  • 1
    • 4944258042 scopus 로고
    • Coupling in predator-prey dynamics - ratio-dependence
    • R. Arditi and L. R. Ginzburg. Coupling in predator-prey dynamics - ratio-dependence. Journal of Theoretical Biology, 139:311-326, 1989.
    • (1989) Journal of Theoretical Biology , vol.139 , pp. 311-326
    • Arditi, R.1    Ginzburg, L.R.2
  • 4
    • 0027557059 scopus 로고
    • Algorithm 717: Subroutines for maximum likelihood and quasi-likelihood estimation of parameters in nonlinear regression models
    • D. S. Bunch, D. M. Gay, and R. E. Welsch. Algorithm 717: Subroutines for maximum likelihood and quasi-likelihood estimation of parameters in nonlinear regression models. ACM Transactions on Mathematical Software, 19:109-130, 1993.
    • (1993) ACM Transactions on Mathematical Software , vol.19 , pp. 109-130
    • Bunch, D.S.1    Gay, D.M.2    Welsch, R.E.3
  • 5
    • 0030105583 scopus 로고    scopus 로고
    • CVODE, a stiff/nonstiff ODE solver in C
    • S. Cohen and A. Hindmarsh. CVODE, a stiff/nonstiff ODE solver in C. Computers in Physics, 10:138-143, 1996.
    • (1996) Computers in Physics , vol.10 , pp. 138-143
    • Cohen, S.1    Hindmarsh, A.2
  • 6
    • 33947709517 scopus 로고    scopus 로고
    • Discovery of relational association rules
    • Springer, Berlin, Germany
    • L. Dehaspe and H. Toivonen. Discovery of relational association rules. In Relational Data Mining, pages 189-212. Springer, Berlin, Germany, 2001.
    • (2001) Relational Data Mining , pp. 189-212
    • Dehaspe, L.1    Toivonen, H.2
  • 7
    • 0034982584 scopus 로고    scopus 로고
    • Adding detritus to a nutrient-phytoplankton-zooplankton model: A dynamical systems approach
    • A. M. Edwards. Adding detritus to a nutrient-phytoplankton-zooplankton model: A dynamical systems approach. Journal of Plankton Research, 23:389-413, 2001.
    • (2001) Journal of Plankton Research , vol.23 , pp. 389-413
    • Edwards, A.M.1
  • 8
    • 0026244420 scopus 로고
    • Compositional modeling: Finding the right model for the job
    • B. Falkenhainer and K. D. Forbus. Compositional modeling: Finding the right model for the job. Artificial Intelligence, 51:95-143, 1991.
    • (1991) Artificial Intelligence , vol.51 , pp. 95-143
    • Falkenhainer, B.1    Forbus, K.D.2
  • 10
    • 1642379397 scopus 로고    scopus 로고
    • Introduction to the special issue on meta-learning
    • C. Giraud-Carrier, R. Vilalta, and P. Brazdil. Introduction to the special issue on meta-learning. Machine Learning, 54:187-193, 2004.
    • (2004) Machine Learning , vol.54 , pp. 187-193
    • Giraud-Carrier, C.1    Vilalta, R.2    Brazdil, P.3
  • 12
    • 0014673629 scopus 로고
    • New inductive population model for insect parasites and its bearing on biological control
    • M. P. Hassell and G. C. Varley. New inductive population model for insect parasites and its bearing on biological control. Nature, 223:1133-1137, 1969.
    • (1969) Nature , vol.223 , pp. 1133-1137
    • Hassell, M.P.1    Varley, G.C.2
  • 13
    • 84888258034 scopus 로고
    • The components of predation as revealed by a study of small mammal predation of the European pine sawfly
    • C. S. Holling. The components of predation as revealed by a study of small mammal predation of the European pine sawfly. Canadian Entomologist, 91:293-320, 1959.
    • (1959) Canadian Entomologist , vol.91 , pp. 293-320
    • Holling, C.S.1
  • 20
    • 9444289502 scopus 로고
    • Extraction of meta-knowledge to restrict the hypothesis space for ILP systems
    • Canberra, Australia, World Scientific Publishers
    • E. McCreath and A. Sharma. Extraction of meta-knowledge to restrict the hypothesis space for ILP systems. In Proceedings of the Eighth Australian Joint Conference on Artificial Intelligence, pages 75-82, Canberra, Australia, 1995. World Scientific Publishers.
    • (1995) Proceedings of the Eighth Australian Joint Conference on Artificial Intelligence , pp. 75-82
    • McCreath, E.1    Sharma, A.2
  • 22
    • 0034508221 scopus 로고    scopus 로고
    • Effects of iron enrichment on phytoplankton in the Southern Ocean during late summer: Active fluorescence and flow cytometric analyses
    • R. J. Olson, H. M. Sosik, A. M. Chekalyuk, and A. Shalapyonok. Effects of iron enrichment on phytoplankton in the Southern Ocean during late summer: Active fluorescence and flow cytometric analyses. Deep-Sea Research Part II-Topical Studies in Oceanography, 47:3181-3200, 2000.
    • (2000) Deep-Sea Research Part II-Topical Studies in Oceanography , vol.47 , pp. 3181-3200
    • Olson, R.J.1    Sosik, H.M.2    Chekalyuk, A.M.3    Shalapyonok, A.4
  • 23
    • 8844261754 scopus 로고
    • The utility of knowledge in inductive learning
    • M. J. Pazzani and D. F. Kibler. The utility of knowledge in inductive learning. Machine Learning, 9:57-94, 1992.
    • (1992) Machine Learning , vol.9 , pp. 57-94
    • Pazzani, M.J.1    Kibler, D.F.2
  • 25
    • 2542454374 scopus 로고    scopus 로고
    • Computing Laboratory, Oxford University
    • A. Srinivasan. The Aleph Manual. Computing Laboratory, Oxford University, 2000.
    • (2000) The Aleph Manual
    • Srinivasan, A.1
  • 27
    • 0037348104 scopus 로고    scopus 로고
    • Anomalously low zooplankton abundance in the Ross Sea: An alternative explanation
    • A. Tagliabue and K. R. Arrigo. Anomalously low zooplankton abundance in the Ross Sea: An alternative explanation. Limnology and Oceanography, 48:686-699, 2003.
    • (2003) Limnology and Oceanography , vol.48 , pp. 686-699
    • Tagliabue, A.1    Arrigo, K.R.2
  • 29
    • 42149147074 scopus 로고    scopus 로고
    • Model construction: Elements of a computational mechanism
    • Edinburgh, Scotland
    • J. M. Zytkow. Model construction: Elements of a computational mechanism. In AISB'99 Symposium on AI and Scientific Creativity, Edinburgh, Scotland, 1999.
    • (1999) AISB'99 Symposium on AI and Scientific Creativity
    • Zytkow, J.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.