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13. Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological varia-
tions, and system approaches. AI Communications 7, 39-59 (1994)
14. Beddoe, G.R., Petrovic, S.: Selecting and weighting features using a genetic algorithm in a
case-based reasoning approach to personnel rostering. European Journal of Operational
Research 175, 649-671 (2006)
15. Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. Journal of Ma-
chine Learning Research 3, 1157-1182 (2003)
16. Aha, D., Bankert, R.: A comparative evaluation of sequential feature selection algorithms.
In: Fisher, D., Lenz, H.-J. (eds.) Learning from Data, vol. 112, pp. 199-206. Springer,
New York (1996)
17. Likhachev, M., Arkin, R.C.: Spatio-temporal case-based reasoning for behavioral selec-
tion. In: Proceedings of the IEEE International Conference on Robotics and Automation,
ICRA, vol. 1622, pp. 1627-1634 (2001)
18. Blanzieri, E., Ricci, F.: Probability based metrics for nearest neighbor classification and
case-based reasoning. In: Althoff, K.-D., Bergmann, R., Branting, L.K. (eds.) ICCBR
1999. LNCS (LNAI), vol. 1650, pp. 14-28. Springer, Heidelberg (1999)
19. http://data.gov.uk/dataset/road-accidents-safety-data
20. Jagannathan, R., Petrovic, S.: A local rule-based attribute weighting scheme for a case-
based reasoning system for radiotherapy treatment planning. In: Agudo, B.D., Watson, I.
(eds.) ICCBR 2012. LNCS, vol. 7466, pp. 167-181. Springer, Heidelberg (2012)
21. Wöllmer, M., Al-Hames, M., Eyben, F., Schuller, B., Rigoll, G.: A multidimensional dy-
namic time warping algorithm for efficient multimodal fusion of asynchronous data
streams. Neurocomputing 73, 366-380 (2009)
 
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