Download Discovery Science: 18th International Conference, DS 2015, by Nathalie Japkowicz, Stan Matwin PDF

By Nathalie Japkowicz, Stan Matwin

This ebook constitutes the court cases of the seventeenth foreign convention on Discovery technological know-how, DS 2015, held in banff, AB, Canada in October 2015. The sixteen lengthy and 12 brief papers presendted including four invited talks during this quantity have been conscientiously reviewed and chosen from forty four submissions.

The blend of modern advances within the improvement and research of equipment for locating scienti c wisdom, coming from computer studying, information mining, and clever info research, in addition to their program in a number of scienti c domain names, at the one hand, with the algorithmic advances in desktop studying concept, nevertheless, makes each example of this joint occasion detailed and engaging.

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Additional resources for Discovery Science: 18th International Conference, DS 2015, Banff, AB, Canada, October 4–6, 2015, Proceedings

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Ann. Zool. Fenn. 1(1), 72–76 (1964) 8. : Swarming behaviour in male chironomid midges: a cost-benefit analysis. Behav. Ecol. 3, 285–290 (1992) 9. : Searching for effective forces in laboratory insect swarms. Sci. Rep. 4, 4766 (2014) 10. : Determining asymptotically large population sizes in insect swarms. J. R. Soc. Interface 11, 99 (2014) 11. : Flocks, herds and schools: a distributed behavioral model. Comput. Graph. 21, 25–34 (1987) 12. : Steering behaviors for autonomous characters. In: Proceeding Game Developers Conference 1999, San Jose, California, pp.

Wind speed forecasting using spatio-temporal indicators. In: ECAI 2012 - PAIS 2012 (System Demonstrations Track). Frontiers in Artificial Intelligence and Applications, vol. 242, pp. 975–980. IOS Press (2012) 9. : Very short-term wind forecasting for tasmanian power generation. IEEE Trans. Power Syst. 21(2), 965–972 (2006) 10. : Wind power forecasting using time series cluster analysis. , Todorovski, L. ) DS 2014. LNCS, vol. 8777, pp. 276–287. Springer, Heidelberg (2014) 11. : An intelligent technique for forecasting spatially correlated time series.

2 Background In this section, we present relevant background information on the characteristics of midges and swarms of midges and a summary of previous research on observing and simulating swarms of midges. Midges and Swarms: Chironomidae is a family in the order Diptera (true flies). Chiro‐ nomids are small (less than 2 cm long [3]) and relatively ubiquitous. Male chironomids form mating swarms. A typical swarm is an aggregation of males “dancing” back and forth in a certain location [10]. Swarms tend to form in certain preferred locations, often based on visual cues or air currents [4, 7].

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