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.
Three important contemporary web sites, recreated with technology and spirit of late 1997. Best viewed with Netscape Navigator 4.03 and a screen resolution of 1024×768 pixels, running under Windows 95.
A. Blessing, and H. Schütze. Proceedings of the 21st ACM international conference on Information and knowledge management, page 1123--1132. New York, NY, USA, ACM, (2012)
A. Java, A. Joshi, and T. Finin. Proceedings of the Tenth Workshop on Web Mining and Web Usage Analysis (WebKDD), ACM, (August 2008)Held in conjunction with The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008).
N. Memon, H. Larsen, D. Hicks, and N. Harkiolakis. Intelligence and Security Informatics, volume 5075 of Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2008)
B. Chou, and E. Suzuki. Data Warehousing and Knowledge Discovery, volume 6263 of Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2010)
G. Flake, S. Lawrence, and C. Giles. KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, page 150--160. New York, NY, USA, ACM Press, (2000)
E. Candes, M. Rudelson, T. Tao, and R. Vershynin. Foundations of Computer Science, 2005. FOCS 2005. 46th Annual IEEE Symposium on, page 668--681. IEEE, (2005)
C. Buckley, and E. Voorhees. Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, page 33--40. New York, NY, USA, ACM, (2000)
R. Agrawal, and R. Srikant. Proceedings of the 20th international conference on Very Large Data Bases (VLDB'94), page 478--499. Morgan Kaufmann, (September 1994)
D. Achlioptas, and F. McSherry. Proceedings of the thirty-third annual ACM symposium on Theory of computing, page 611--618. New York, NY, USA, ACM, (2001)