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.
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1411--1428(2006)Member-Chia-Hui Chang and Member-Moheb Ramzy Girgis.
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Y. Wang, L. Wang, Y. Li, D. He, und T. Liu. Proceedings of the 26th Annual Conference on Learning Theory, Volume 30 von Proceedings of Machine Learning Research, Seite 25--54. Princeton, NJ, USA, PMLR, (Juni 2013)
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A. Lancichinetti, und 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.
S. McNee, N. Kapoor, und J. Konstan. Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, Seite 171--180. New York, NY, USA, ACM, (2006)
S. Dlugolinsky, M. Ciglan, und M. Laclavik. Proceedings of the 17th International Conference on Intelligent Engineering Systems, Seite 197--202. IEEE, (2013)
T. Tilley, R. Cole, P. Becker, und P. Eklund. Kapitel A Survey of Formal Concept Analysis Support for Software Engineering Activities, Springer-Verlag, Berlin, Heidelberg, (2005)
J. Poelmans, P. Elzinga, S. Viaene, und G. Dedene. Conceptual Structures: From Information to Intelligence, Volume 6208 von Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2010)
J. Poelmans, P. Elzinga, S. Viaene, und G. Dedene. Conceptual Structures: From Information to Intelligence, Volume 6208 von Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2010)
S. Wang, L. Hu, Y. Wang, X. He, Q. Sheng, M. Orgun, L. Cao, F. Ricci, und P. Yu. (2021)cite arxiv:2105.06339Comment: Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718.