메뉴 건너뛰기




Volumn 4660 LNAI, Issue , 2007, Pages 69-97

Integrating domain knowledge in equation discovery

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; DIFFERENTIAL EQUATIONS; MATHEMATICAL MODELS;

EID: 38149023419     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73920-3_4     Document Type: Conference Paper
Times cited : (16)

References (39)
  • 1
    • 0028594695 scopus 로고
    • A trophic model for Uiva Rigida in the Lagoon of Venice
    • Bendoricchio, G., Coffaro, G., DeMarchi, C.: A trophic model for Uiva Rigida in the Lagoon of Venice. Ecological Modelling 75/76, 485-496 (1994)
    • (1994) Ecological Modelling , vol.75-76 , pp. 485-496
    • Bendoricchio, G.1    Coffaro, G.2    DeMarchi, C.3
  • 2
    • 0027557059 scopus 로고
    • Algorithm 717; subroutines for maximum like-lihood and quasi-likelihood estimation of parameters in nonlinear regression models
    • Bunch, D.S., Gay, D.M., Welsch, R.E.: Algorithm 717; subroutines for maximum like-lihood 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
  • 3
  • 4
    • 38149005580 scopus 로고    scopus 로고
    • Coffaro, G., Carrer, G., Bendoricchio, G.: Model for Ulva Rigida growth in the Lagoon of Venice (Technical Report). University of Padova, Padova, Italy. UNESCO MURST Project: Venice Lagoon Ecosystem (1993)
    • Coffaro, G., Carrer, G., Bendoricchio, G.: Model for Ulva Rigida growth in the Lagoon of Venice (Technical Report). University of Padova, Padova, Italy. UNESCO MURST Project: Venice Lagoon Ecosystem (1993)
  • 5
    • 0029220108 scopus 로고
    • Discovering dynamics: From inductive logic programming to machine discovery
    • Džeroski, S., Todorovski, L.: Discovering dynamics: from inductive logic programming to machine discovery. Journal of Intelligent Information Systems 4, 89-108 (1995)
    • (1995) Journal of Intelligent Information Systems , vol.4 , pp. 89-108
    • Džeroski, S.1    Todorovski, L.2
  • 6
    • 0026244420 scopus 로고
    • Compositional modeling: Finding the right model for the job
    • Falkenheiner, B., Forbus, K.D.: Compositional modeling: Finding the right model for the job. Artificial Intelligence 51, 95-143 (1991)
    • (1991) Artificial Intelligence , vol.51 , pp. 95-143
    • Falkenheiner, B.1    Forbus, K.D.2
  • 7
    • 0021613150 scopus 로고
    • Qulitative process theory
    • Forbus, K.D.: Qulitative process theory. Artificial Intelligence 24, 85-168 (1984)
    • (1984) Artificial Intelligence , vol.24 , pp. 85-168
    • Forbus, K.D.1
  • 10
    • 0002723451 scopus 로고
    • Determining arguments of invariant functional descriptions
    • Kokar, M.M.: Determining arguments of invariant functional descriptions. Machine Learning 4, 403-422 (1986)
    • (1986) Machine Learning , vol.4 , pp. 403-422
    • Kokar, M.M.1
  • 12
    • 33644666571 scopus 로고    scopus 로고
    • Doctoral dissertation, Faculty of computer and information science, University of Ljubljana, Ljubljana, Slovenia. In Slovene
    • Križman, V.: Avtomatsko odkrivanje strukture modelov dinamičnih sistemov. Doctoral dissertation, Faculty of computer and information science, University of Ljubljana, Ljubljana, Slovenia. In Slovene (1998)
    • (1998) Avtomatsko odkrivanje strukture modelov dinamičnih sistemov
    • Križman, V.1
  • 15
    • 0024738317 scopus 로고
    • Data-driven approaches to empirical discovery
    • Langley, P., Żytkow, J.: Data-driven approaches to empirical discovery. Artificial Intelligence 40, 283-312 (1989)
    • (1989) Artificial Intelligence , vol.40 , pp. 283-312
    • Langley, P.1    Żytkow, J.2
  • 17
    • 0009344837 scopus 로고
    • The need for biases in learning generalizations
    • Morgan Kaufmann, San Mateo, CA
    • Mitchell, T.M.: The need for biases in learning generalizations. In: Readings in machine learning, pp. 184-191. Morgan Kaufmann, San Mateo, CA (1991)
    • (1991) Readings in machine learning , pp. 184-191
    • Mitchell, T.M.1
  • 18
    • 0003475470 scopus 로고
    • 2nd corrected edn. Springer, Heidelberg
    • Murray, J.D.: Mathematical biology, 2nd corrected edn. Springer, Heidelberg (1993)
    • (1993) Mathematical biology
    • Murray, J.D.1
  • 20
    • 0028407918 scopus 로고
    • Theory refinement combining analytical and empirical methods
    • Ourston, D., Mooney, R.J.: Theory refinement combining analytical and empirical methods. Artificial Intelligence 66, 273-309 (1994)
    • (1994) Artificial Intelligence , vol.66 , pp. 273-309
    • Ourston, D.1    Mooney, R.J.2
  • 21
    • 8844261754 scopus 로고
    • The utility of background knowledge in inductive learning
    • Pazzani, M., Kibler, D.: The utility of background knowledge in inductive learning. Machine Learning 9, 57-94 (1992)
    • (1992) Machine Learning , vol.9 , pp. 57-94
    • Pazzani, M.1    Kibler, D.2
  • 22
    • 0035210113 scopus 로고    scopus 로고
    • Acceptance of rules generated by machine learning among medical experts
    • Pazzani, M.J., Mani, S., Shankle, W.R.: Acceptance of rules generated by machine learning among medical experts. Methods of Information in Medicine 40, 380-385 (2001)
    • (2001) Methods of Information in Medicine , vol.40 , pp. 380-385
    • Pazzani, M.J.1    Mani, S.2    Shankle, W.R.3
  • 23
    • 0031452830 scopus 로고    scopus 로고
    • Global model estimates of carbon and nitrogen storage in litter and soil pools: Response to change in vegetation quality and biomass allocation
    • Potter, C.S., Klooster, S.A.: Global model estimates of carbon and nitrogen storage in litter and soil pools: Response to change in vegetation quality and biomass allocation. Tellus 49B, 1-17 (1997)
    • (1997) Tellus , vol.49 B , pp. 1-17
    • Potter, C.S.1    Klooster, S.A.2
  • 24
    • 38149103207 scopus 로고    scopus 로고
    • Quinlan, J.R.: C4.5: Programs for machine learning. Morgan Kaufmann, San Mateo, CA (1993)
    • Quinlan, J.R.: C4.5: Programs for machine learning. Morgan Kaufmann, San Mateo, CA (1993)
  • 26
    • 0347316819 scopus 로고    scopus 로고
    • Qualitative reasoning about population and community ecology
    • Salles, P., Bredeweg, B.: Qualitative reasoning about population and community ecology. AI Magazine 24, 77-90 (2003)
    • (2003) AI Magazine , vol.24 , pp. 77-90
    • Salles, P.1    Bredeweg, B.2
  • 31
    • 0344507131 scopus 로고    scopus 로고
    • Modelling and prediction of phytoplankton growth with equation discovery
    • Todorovski, L., Džeroski, S., Kompare, B.: Modelling and prediction of phytoplankton growth with equation discovery. Ecological Modelling 113, 71-81 (1998)
    • (1998) Ecological Modelling , vol.113 , pp. 71-81
    • Todorovski, L.1    Džeroski, S.2    Kompare, B.3
  • 32
    • 0028529307 scopus 로고
    • Knowledge-based artificial neural networks
    • Towell, G.G., Shavlik, J.W.: Knowledge-based artificial neural networks. Artificial Intelligence 70, 119-165 (1994)
    • (1994) Artificial Intelligence , vol.70 , pp. 119-165
    • Towell, G.G.1    Shavlik, J.W.2
  • 33
    • 0001164493 scopus 로고
    • Shift of bias for inductive concept learning
    • Morgan Kaufmann, San Mateo, CA
    • Utgoff, P.E.: Shift of bias for inductive concept learning. In: Machine learning: An artificial intelligence approach - vol. 2, pp. 107-148. Morgan Kaufmann, San Mateo, CA (1986)
    • (1986) Machine learning: An artificial intelligence approach , vol.2 , pp. 107-148
    • Utgoff, P.E.1
  • 36
    • 0035669859 scopus 로고    scopus 로고
    • Predicting chlorophyll-a in freshwater lakes by hybridising process-based models and genetic algorithms
    • Whigham, P.A., Recknagel, F.: Predicting chlorophyll-a in freshwater lakes by hybridising process-based models and genetic algorithms. Ecological Modelling 146, 243-251 (2001)
    • (2001) Ecological Modelling , vol.146 , pp. 243-251
    • Whigham, P.A.1    Recknagel, F.2
  • 37
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • Williams, R.J., Zipser, D.: A learning algorithm for continually running fully recurrent neural networks. Neural Computation 1, 270-280 (1989)
    • (1989) Neural Computation , vol.1 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2
  • 38
    • 0001936070 scopus 로고    scopus 로고
    • First order theory refinement
    • Raedt, L.D, ed, IOS Press, Amsterdam, The Netherlands
    • Wrobel, S.: First order theory refinement. In: Raedt, L.D. (ed.) Advances in inductive logic programming, pp. 14-33. IOS Press, Amsterdam, The Netherlands (1996)
    • (1996) Advances in inductive logic programming , pp. 14-33
    • Wrobel, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.