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Mathematical sciences / Statistical theory / Bayesian network / Networks / Discretization / Bayesian inference / Dynamic programming / Statistics / Bayesian statistics / Mathematics


Exact Bayesian Learning of Ancestor Relations in Bayesian Networks Yetian Chen Lingjian Meng Jin Tian
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Document Date: 2015-01-23 16:30:52

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City

Ames / San Diego / /

Company

DAG / Sinks Mek PLC / Eaton / JNK PLC / MIT Press / Cambridge Univ Press / PKC PLC / Morgan Kaufmann Publishers Inc. / Running Times / Bayesian Networks / P aG / Mek PLC / Raf Mek PLC / PIP3 PIP3 Akt PLC / Intel / /

Continent

Asia / /

Country

United States / /

Facility

Iowa State University / /

IndustryTerm

large networks / empty network / probabilistic networks / overall computing time / accepted consensus network / chain network / computing / closed-form solution / Causal protein-signaling networks / /

OperatingSystem

Linux / /

Organization

American Statistical Association / MIT / Iowa State University / Bayesian Networks Yetian Chen Lingjian Meng Jin Tian Department of Computer Science / /

Person

David Madigan / Lavanya Ram / Dan Geiger / Richard Scheines / Kevin Murphy / Garry P Nolan / Douglas A Lauffenburger / Jin Tian / Judea Pearl / Pekka Parviainen / Clark Glymour / Ai / Karen Sachs / Thomas Verma / Jeremy York / Dirk Husmeier / Peter Spirtes / Edward Herskovits / Daphne Koller / David M. Chickering / Gregory F Cooper / Omar Perez / Marco Grzegorczyk / Ru He / Byron Ellis / Denis Allard / Mikko Koivisto / David Heckerman / Dana Pe’er / Yetian Chen / Nir Friedman / Chen Lingjian Meng Jin Tian / Kismat Sood / Wing Hung Wong / Mikael Niinim¨aki / /

Product

BDe / /

ProvinceOrState

Iowa / /

PublishedMedium

Machine Learning / The Journal of Machine Learning Research / Journal of the American Statistical Association / /

Technology

Linux / Machine Learning / previous order-based algorithm / DP algorithm / order-based algorithm / analogous DP algorithm / artificial intelligence / /

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