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A reading list on Bayesian methods
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 ...
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.
to bayesian learning survey by folke and 5 other users on Dec 16, 2011, 12:48 PM
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Ontology Learning | Ontogenesis
to blog folksonomy introduction learning ontology by folke and 4 other users on Feb 8, 2010, 8:34 AM
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learning_in_graphical_models-chap01.pdf (application/pdf Object)
to ebook graphical learning models online by folke on Oct 20, 2009, 12:35 PM
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NIPS 2002
Latent
to bayesian collection learning machine papers by folke on Sep 24, 2009, 3:56 PM
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UCI Machine Learning Repository: Data Sets
to Learning datasets by folke and 1 other user on Sep 10, 2009, 2:23 PM
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VideoLectures - exchange ideas & share knowledge
to education learning lecture tutorial video by folke and 36 other users on Mar 5, 2009, 3:45 PM
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Pattern recognition and machine learning
C.M. Bishop Springer New York, (2006)
to learning machine ml textbook by folke and 12 other users on Aug 3, 2011, 9:51 AM
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Introduction to statistical relational learning
L. Getoor, and B. Taskar The MIT Press, (2007)
to graphical learning machine ml models statistics by folke and 2 other users on Jul 23, 2011, 1:20 PM
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An introduction to variational methods for graphical models
M.I. Jordan, Z. Ghahramani, T.S. Jaakkola, and L.K. Saul Machine learning 37(2):183--233 (1999)
to graphical learning machine ml models variational by folke and 6 other users on Jul 19, 2011, 9:16 PM
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C4.5: programs for machine learning
J. Ross Quinlan Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, (1993)
to decision gain learning machine ml ratio tree by folke and 16 other users on Jun 5, 2010, 10:44 AM
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Learning in graphical models
Michael I. Jordan (2003)
to graphical introduction learning models by folke on Oct 28, 2009, 8:20 AM
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Introduction to Bayesian learning
Aaron Hertzmann SIGGRAPH '04: ACM SIGGRAPH 2004 Course Notes, page 22. New York, NY, USA, ACM, (2004)
to bayesian introduction learning by folke and 2 other users on Oct 28, 2009, 7:08 AM
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Markov chain Monte Carlo in practice
W.R. Gilks, and DJ Spiegelhalter Chapman \& Hall/CRC, (1996)
to carlo chain gibbs learning machine markov ml monte by folke on Oct 22, 2009, 5:35 PM
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Learning in Graphical Models
M. Jordan (Eds.). MIT Press, (1998)
to bayesian graphical learning ml model by folke and 3 other users on Oct 20, 2009, 12:15 PM
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An incremental tri-partite approach to ontology learning
J. Iria, C. Brewster, F. Ciravegna, and Y. Wilks Proc. of LREC2006, Genoa (2006)
to learning ontology partite semantic tri web by folke and 3 other users on Mar 31, 2009, 2:58 PM
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Dynamic iterative ontology learning
C. Brewster, J. Iria, Z. Zhang, F. Ciravegna, L. Guthrie, and Y. Wilks Recent Advances in Natural Language Processing RANLP 07 (2007)
to learning ontology semantic web by folke and 2 other users on Mar 31, 2009, 2:56 PM
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Mining Association Rules in Folksonomies
Christoph Schmitz, Andreas Hotho, Robert Jäschke, and Gerd Stumme Data Science and Classification: Proc. of the 10th IFCS Conf., page 261--270. Berlin, Heidelberg, Springer, (2006)
to association folksonomy learning ontology rule by folke and 25 other users on Mar 18, 2009, 5:23 PM
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Inducing Ontology from Flickr Tags
Patrick Schmitz Proceedings of the Workshop on Collaborative Tagging at WWW2006, Edinburgh, Scotland, (May 2006)
to community detection learning ontology by folke and 30 other users on Jan 7, 2009, 11:56 AM
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Ontologies are us: A unified model of social networks and semantics
Peter Mika Web Semantics: Science, Services and Agents on the World Wide Web 5(1):5--15 (March 2007)
to learning ontology by folke and 31 other users on Jan 7, 2009, 11:54 AM
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