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Bayesian networks
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#	Item
181	A Robust Architecture for Distributed Inference in Sensor Networks Mark Paskin Carlos Guestrin and Jim McFadden Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:06 Graphical models Spanning tree Bayesian statistics Statistical models Belief propagation Coding theory Tree decomposition Minimum spanning tree Routing Graph theory Mathematics Theoretical computer science
182	Available online at www.sciencedirect.com ScienceDirect LFP and oscillations—what do they tell us? Karl J Friston1, Andre´ M Bastos2,3, Dimitris Pinotsis1 and Vladimir Litvak1 Add to Reading List Source URL: www.esi-frankfurt.de Language: English - Date: 2014-08-15 06:18:59 Neural networks Cognitive neuroscience Electrophysiology Neurophysiology Computational neuroscience Neural oscillation Bayesian brain Electroencephalography Biological neural network Neuroscience Biology Mind
183	Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:25 Markov chain Monte Carlo Markov models Markov processes Bayesian statistics Markov chain Gibbs sampling Boltzmann machine Generative model Graphical model Statistics Statistical models Probability and statistics
184	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: 2010-08-25 10:31:58 Computer memory Bayesian network Information Electronics Electronic engineering Cache pollution Classic RISC pipeline Cache CPU cache Central processing unit
185	Parallel Data Mining of Bayesian Networks from Gene Expression Data Longde Yin 1, Chun-Hsi Huang2, Sanguthevar Rajasekaran3 Keywords : Gene Regulatory Networks, Genetic algorithm, Parallel Data Mining DNA microarrays all Add to Reading List Source URL: www.cse.uconn.edu Language: English - Date: 2004-02-04 16:27:16 Gene expression Applied mathematics Mathematical optimization Search algorithms Statistical models Genetic algorithm Bayesian network Gene regulatory network Nir Friedman Science Biology Networks
186	The Knowledge Engineering Review, Vol. 15:3, 2000, 257±284 Printed in the United Kingdom Copyright # 2000, Cambridge University Press Building large-scale Bayesian networks M A R T I N N E I L 1 , N O R M A N F E N T O Add to Reading List Source URL: www.eecs.qmul.ac.uk Language: English - Date: 2013-04-11 09:14:58 Statistical models Graphical models Bayesian network Electromagnetism Electronics Connectivity Topology Networks Statistics Bayesian statistics
187	Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures Johannes Hartz Cognitive Systems Laboratory Department of Informatics University of Hamburg Add to Reading List Source URL: kogs-www.informatik.uni-hamburg.de Language: English - Date: 2009-09-29 12:24:33 Statistics Bayesian statistics Statistical models Applied mathematics Computer vision Bayesian network Matching Markov random field Structure Mathematics Networks Graphical models
188	Probabilistic Modelling and Reasoning School of Informatics, University of Edinburgh Instructor: Prof Chris Williams September 2012 Assessment By formal examination (80%) and one assignment (20%). Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2012-08-31 08:26:57 Statistical models Networks Probability theory Bayesian network Expectation–maximization algorithm Hidden Markov model Bayesian inference Markov random field Belief propagation Statistics Graphical models Bayesian statistics
189	Microsoft Word - BN book announcement.doc Add to Reading List Source URL: www.taos-telecommunity.org Language: English - Date: 2008-03-05 16:13:41 Bayesian statistics Machine learning Bayesian network Networks Statistical classification Inference Statistics Logic Statistical models
190	Learning Continuous Time Bayesian Networks Uri Nodelman Stanford University Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 2005-05-18 16:00:10 Markov models Bayesian network Networks Markov chain Conjugate prior Gamma distribution Exponential family Bayesian inference Sufficient statistic Statistics Bayesian statistics Statistical theory

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