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Belief propagation
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#	Item
21	Influence Propagation in Adversarial Setting: How to Defeat Competition with Least Amount of Investment Shahrzad Shirazipourazad, Brian Bogard, Harsh Vachhani, Arunabha Sen School of Computing, Informatics and Decision S Add to Reading List Source URL: web.cs.du.edu Language: English - Date: 2012-09-21 17:55:11 Graph theory Mathematics Networks Network theory Discrete mathematics Operations research Centrality Network analysis Flow network Belief propagation
22	Journal of Artificial Intelligence Research–1178 Submitted 12/15; publishedExploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks Add to Reading List Source URL: jair.org Language: English - Date: 2016-04-28 15:06:13 Statistics Graphical models Probability Estimation theory Robot control Dynamic Bayesian network Probability theory Bayesian network Causality Particle filter Partially observable Markov decision process Belief propagation
23	BASIS PURSUIT IN SENSOR NETWORKS João F. C. Mota1,2 , João M. F. Xavier2 , Pedro M. Q. Aguiar2 , and Markus Püschel3 1 Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, USA 2 Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2011-02-25 13:38:10 Mathematics Operations research Applied mathematics Combinatorial optimization Convex optimization Theoretical computer science Computer science A* search algorithm Algorithm NP Linear programming Belief propagation
24	BASIS PURSUIT IN SENSOR NETWORKS João F. C. Mota1,2 , João M. F. Xavier2 , Pedro M. Q. Aguiar2 , and Markus Püschel3 1 Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, USA 2 Add to Reading List Source URL: www.ee.ucl.ac.uk Language: English - Date: 2013-07-05 07:45:59 Operations research Combinatorial optimization Theoretical computer science Convex optimization A* search algorithm Algorithm NP Linear programming Belief propagation Mean value analysis
25	Budgeted Online Collective Inference Jay Pujara University of Maryland Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2015-07-31 17:33:33 Graphical models Statistical theory Probability theory Statistical models Bayesian inference Statistical inference Bayesian network Markov random field Belief propagation Scala First-order logic Loss function
26	2013 IEEE International Conference on Computer Vision Slice Sampling Particle Belief Propagation Oliver Müller, Michael Ying Yang, and Bodo Rosenhahn Institute for Information Processing (TNT), Leibniz University Hanno Add to Reading List Source URL: www.tnt.uni-hannover.de Language: English - Date: 2016-08-02 06:36:10 Monte Carlo methods Markov chain Monte Carlo Non-uniform random numbers Probability distributions Computational statistics MetropolisHastings algorithm Rejection sampling Gibbs sampling Normal distribution Slice sampling Uniform distribution
27	894 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 6, NO. 3, SEPTEMBER 2011 A Message-Passing Approach to Combating Desynchronization Attacks Add to Reading List Source URL: coleman.ucsd.edu Language: English Coding theory Error detection and correction Graphical models Low-density parity-check code Belief propagation Repetition code Factor graph Additive white Gaussian noise
28	Fault-Tolerant Aggregation by Flow Updating Paulo Jesus, Carlos Baquero, and Paulo S´ergio Almeida University of Minho (CCTC-DI) Campus de Gualtar, Braga, Portugal {pcoj, cbm, psa}@di.uminho.pt Add to Reading List Source URL: gsd.di.uminho.pt Language: English - Date: 2015-03-13 12:52:43 Routing algorithms Distributed data storage Edsger W. Dijkstra Distributed computing Distributed hash table File sharing Routing Distributed algorithm Kademlia Belief propagation
29	Microsoft PowerPoint - class-5-out.ppt [Compatibility Mode] Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-09-09 17:58:53 Graphical models Probability theory Belief propagation Coding theory Markov random field Factor graph Variable elimination Tree decomposition Logarithm Centrality
30	DISTRIBUTED ALGORITHMS FOR BASIS PURSUIT João F. C. Mota†‡ , João M. F. Xavier† , Pedro M. Q. Aguiar† , Markus Püschel‡ † Institute for Systems and Robotics / IST, Lisboa, Portugal {jmota,jxavier,aguiar}@i Add to Reading List Source URL: www.ee.ucl.ac.uk Language: English - Date: 2013-07-05 07:45:59 Routing algorithms Linear algebra Matrix theory Belief propagation Coding theory Spectral theory of ordinary differential equations