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Bayesian statistics / Machine learning / Probabilistic relational model / Statistical relational learning / Bayesian network / Data model / Bayesian inference / Statistics / Probability and statistics / Statistical models


Individuals, relations and structures in probabilistic models James Cussens Department of Computer Science University of York Heslington, York, YO10 5DD, UK
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Document Date: 2003-06-18 10:00:15

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File Size: 63,87 KB

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City

York / Acapulco / Springer / London / /

Company

Cambridge University Press / /

Country

United Kingdom / Mexico / /

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Facility

Computer Science University of York Heslington / University of Chicago Press / /

Organization

Cambridge University / Computer Science University of York Heslington / University of Chicago Press / Chicago / MRC Biostatistics Unit / James Cussens Department / /

Person

Stefan Kramer / Daphne Koller / Peter J. Brockwell / Hal Stern / Avi Pfeffer / Ian Hacking / Richard A. Davis / Andrew Gelman / Jennifer Neville / David Jensen / James Cussens / Carl Pollard / Matthew Rattigan / Nada Lavra / John Carlin / Nir Friedman / Lise Getoor / Donald Rubin / /

Position

statistician / Model Data Machine Output Nature Results Figure / teacher / FIRST REST nelist elist nom CASE PHON HEAD / /

ProgrammingLanguage

Datalog / /

ProvinceOrState

New York / /

PublishedMedium

Machine Learning / /

Technology

artificial intelligence / relational database system / relational database / Data Mining / Machine Learning / /

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