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Bayesian networks
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261	Instruction Cache Prediction Using Bayesian Networks Mark Bartlett and Iain Bate and James Cussens1 Abstract. Storing instructions in caches has led to dramatic increases in the speed at which programs can execute. Howev Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2012-05-02 15:17:20 Computer memory Bayesian network Information Electronics Electronic engineering Cache pollution Classic RISC pipeline Cache CPU cache Central processing unit
262	FUZZY BAYESIAN NETWORKS FOR PROGNOSTICS AND HEALTH MANAGEMENT by Nicholas Frank Ryhajlo Add to Reading List Source URL: www.cs.montana.edu Language: English - Date: 2014-10-27 15:50:51 Fuzzy logic Statistical models Graphical models Networks Bayesian network ATML Prognostics Bayesian inference Membership function Statistics Bayesian statistics Logic
263	Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries Shengbo Guo Australian National University - NICTA Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-03-14 22:58:41 Networks Expected utility hypothesis Recommender system Statistics Bayesian statistics Bayesian network
264	Exact Bayesian Learning of Ancestor Relations in Bayesian Networks Yetian Chen Lingjian Meng Jin Tian Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2015-01-23 16:30:52 Mathematical sciences Statistical theory Bayesian network Networks Discretization Bayesian inference Dynamic programming Statistics Bayesian statistics Mathematics
265	In Proceedings of 12th Conference on Uncertainty in Artificial Intelligence, Portland, Oregon, August 1996 Ecient enumeration of instantiations in Bayesian networks Sampath Srinivas Add to Reading List Source URL: xenon.stanford.edu Language: English - Date: 2007-05-21 03:39:48 Bayesian network Networks Bioinformatics Mathematics Applied mathematics Algorithm Hidden Markov model XTR Graphical models Statistics Bayesian statistics
266	AND/OR Search Spaces for Graphical Models Rina Dechter and Robert Mateescu Donald Bren School of Information and Computer Science University of California, Irvine, CAAbstract Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-11-07 17:35:27 Constraint programming Bayesian statistics Statistical models Networks Tree decomposition Bayesian network Constraint satisfaction Markov random field Graph Graph theory Mathematics Graphical models
267	Modeling and Querying Probabilistic XML Data 1 Benny Kimelfeld Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2008-12-18 16:36:47 Applied mathematics Statistics Bayesian network Randomized algorithm Probabilistic Turing machine Probabilistic complexity theory Theoretical computer science Networks
268	STRUCTURALLY DISCRIMINATIVE GRAPHICAL MODELS FOR AUTOMATIC SPEECH RECOGNITION – RESULTS FROM THE 2001 JOHNS HOPKINS SUMMER WORKSHOP Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2005-03-03 12:04:50 Graphical models Networks Machine learning Bayesian network Speech recognition Mutual information Expectation–maximization algorithm Hidden Markov model Generative model Statistics Statistical models Bayesian statistics
269	Identifying Conditional Causal Effects Jin Tian Department of Computer Science Iowa State University Ames, IA 50011 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-08-19 14:40:02 Bayesian network Networks Causality Variable Science Interaction information Statistics Mathematics Statistical models
270	Learning Bayesian Networks for Improved Instruction Cache Analysis Mark Bartlett, Iain Bate and James Cussens Department of Computer Science University of York Heslington, York, UK Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2012-05-02 15:17:24 Computer hardware Computer architecture Central processing unit Bayesian network Networks CPU cache Worst-case execution time Graphical model Cache Statistics Bayesian statistics Statistical models

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