This list is intended to introduce some of the tools of Bayesian statistics and machine learning that can be useful to computational research in cognitive science.
J. Han, M. Kamber, and A. K. H. Tung. Geographic Data Mining and Knowledge Discovery, chapter Spatial Clustering Methods in Data Mining: A Survey, pages 1–29. Taylor and Francis, 2001. [url]
M. Yuen, L. Chen, и I. King. Proceedings of the International Conference on Computational Science and Engineering, CSE '09, 4, стр. 723--728. (августа 2009)
A. Quinn, и B. Bederson. Proceedings of the 2011 annual conference on Human factors in computing systems, стр. 1403--1412. New York, NY, USA, ACM, (2011)
J. Poelmans, P. Elzinga, S. Viaene, и G. Dedene. Conceptual Structures: From Information to Intelligence, том 6208 из Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2010)
J. Poelmans, P. Elzinga, S. Viaene, и G. Dedene. Conceptual Structures: From Information to Intelligence, том 6208 из Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2010)
S. McNee, N. Kapoor, и J. Konstan. Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, стр. 171--180. New York, NY, USA, ACM, (2006)
A. Dattolo, F. Ferrara, и C. Tasso. Proc. of the 3rd International Conference on Human System Interaction - HSI'2010, стр. 548--555. IEEE Press, (мая 2010)
A. Lancichinetti, и S. Fortunato. (2009)cite arxiv:0908.1062
Comment: 12 pages, 8 figures. The software to compute the values of our
general normalized mutual information will be soon available at
http://santo.fortunato.googlepages.com/inthepress2.