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Approximate inference
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51	NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Approximate Inference for Hierarchical Gaussian Markov Random Fields Models by Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2005-09-20 12:14:54
52	Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests Roy Bar-Haim1 , Jonathan Berant2 , Ido Dagan1 ,Iddo Greental3 , Shachar Mirkin1 , Eyal Shnarch1 and Idan Szpektor1 1 Computer Science Depar Add to Reading List Source URL: www-nlp.stanford.edu Language: English - Date: 2014-07-26 23:52:02 Science Computational linguistics Parse tree Syntax Valency Phrase structure rules WordNet Inference Tree Linguistics Knowledge representation Logic
53	Implementing Approximate inference for Latent Gaussian Markov Random Field Models: the INLA package for R. Add to Reading List Source URL: www.bias-project.org.uk Language: English - Date: 2008-09-30 06:03:13 Irish National Liberation Army Irregular military Military organization
54	Implementing Approximate Bayesian Inference using Integrated Nested Laplace Approximation: a manual for the inla program Sara Martino and H˚avard Rue Department of Mathematical Sciences NTNU, Norway January 2008 Add to Reading List Source URL: www.bias-project.org.uk Language: English - Date: 2008-09-28 15:14:45 C programming language International Obfuscated C Code Contest Expectation–maximization algorithm Computer programming Computing Statistics
55	Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood1 Adrian E. Raftery, Xiaoyue Niu, Peter D. Hoﬀ and Ka Yee Yeung University of Washington Working Paper no. 101 Center for Sta Add to Reading List Source URL: www.csss.washington.edu Language: English - Date: 2010-07-21 19:38:27 Bayesian statistics Likelihood function Likelihood-ratio test Exponential random graph models Latent class model Statistics Estimation theory Statistical theory
56	Approximate Inference: Loopy BP & Varia7onal Methods Excerpted from: Learning in Graphical Models Prof. Alexander Ihler Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-12-02 23:52:34
57	AN APPROXIMATE DYNAMIC PROGRAMMING APPROACH FOR COMMUNICATION CONSTRAINED INFERENCE J. L. Williams J. W. Fisher III Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:45:48 Linear filters Markov models Wireless sensor network Sensors Kalman filter Robot control Sensor node Entropy Sensor Technology Systems theory Control theory
58	treatment of false positives, dependent parameters, uncertainties & selection effects open source tools applicable to all existing Add to Reading List Source URL: nexsci.caltech.edu Language: English - Date: 2015-03-17 12:16:13 Logic Bayesian statistics Reasoning Extrasolar planet SETI Approximate Bayesian computation Inference Statistics Astronomy Exoplanetology
59	mcqmc2012-program-book.pdf Add to Reading List Source URL: www.mcqmc2012.unsw.edu.au Language: English - Date: 2012-02-07 19:21:40 Monte Carlo methods Bayesian statistics Numerical analysis Markov models Computational statistics Markov chain Monte Carlo Importance sampling Approximate Bayesian computation Bayesian inference Statistics Probability and statistics Mathematics
60	Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs Vikash K. Mansinghka⇤ 1,2 Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-04-23 13:05:14 Statistical models Bayesian inference Statistical forecasting Statistical inference Generative model Approximate Bayesian computation Pattern recognition Inference One-shot learning Statistics Bayesian statistics Machine learning