Artificial Intelligence for Computational Sustainability: A Lab Companion/Detailed bibliography on computational sustainability
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- ↑ Todorovski, L., Džeroski, S., 1997. Declarative bias in equation discovery. In: Proceedings of the Fourteenth International Conference on Machine Learning. Morgan Kaufmann, Los Altos, CA, pp. 376–384.
- ↑ Aspinall, R., 1992. An inductive modeling procedure based on Bayes’ theorem for analysis of pattern in spatial data. Int. J. Geogr. Inform. Syst. 6 (2), 105–121. Retrieved from http://www.mendeley.com/research/inductive-modelling-procedure-based-bayes-theorem-analysis-pattern-spatial-data-1/
- ↑ Serra, M. Sànchez-Marrè, J. Lafuente, U. Cortés, M. Poch ISCWAP: a knowledge-based system for supervising activated sludge processes Comput. Chem. Eng., 21 (2), pp. 211–221. Retrieved from http://ac.els-cdn.com/0098135495002588/1-s2.0-0098135495002588-main.pdf?_tid=3c1656c5c7d8e18b440147c4ca186dc1&acdnat=1340798089_e2819310b4d62981aaeaa7bdb3cc072d
- ↑ Dzeroski, S. 2002. Environmental Applications of Data Mining. Retrieved from http://rses.anu.edu.au/cadi/Whiteconference/papers/DzeroskiAbstract.pdf
- ↑ Dzeroski, S., Todorovski, L. 2003. Learning population dynamics models from data and domain knowledge. Ecological Modelling, 170, pp. 129--140
- ↑ Phillips, S. J., Anderson, R. P., Schapire, R. E. 2006. “Maximum entropy modeling of species geographic distributions,” Ecological Modelling, no. 190, pp. 231–259.