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Bayesian network
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#	Item
191	Forum Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3 Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-09-25 18:39:53 Statistical inference Statistical theory Philosophy of science Sampling techniques Psychometrics Bayesian inference Statistics Monte Carlo method Statistical hypothesis testing Sampling Causality Bayesian network
192	Proceedings of 2010 IEEE 17th International Conference on Image Processing September 26-29, 2010, Hong Kong Using the Kullback-Leibler Divergence to Combine Image Priors in Super-Resolution Image Reconstruction Add to Reading List Source URL: decsai.ugr.es Language: English - Date: 2010-10-04 04:57:27 Probability distributions Bayesian statistics KullbackLeibler divergence Statistical theory Thermodynamics Gamma distribution Variational Bayesian methods Peak signal-to-noise ratio Bayesian network Sheaf
193	Co-Learning Bayesian Model Fusion: Efficient Performance Modeling of Analog and Mixed-Signal Circuits Using Side Information Add to Reading List Source URL: manzil.ml Language: English - Date: 2016-01-03 02:26:45 Statistics Probability Mathematical analysis Probability distributions Laplace distribution Linear regression Normal distribution Constructible universe Bayesian network Ordinal number Beta distribution Omnibus test
194	Asymptotic Learning on Bayesian Social Networks∗ Elchanan Mossel Allan Sly Omer Tamuz Add to Reading List Source URL: people.hss.caltech.edu Language: English - Date: 2014-01-28 19:58:46 Graph theory Mathematics Discrete mathematics Bayesian network Graph isomorphism Directed graph Ear decomposition Graph Expander graph Eulerian path
195	Bayesian Clustering of Transcription Factor Binding Motifs Shane T. J ENSEN and Jun S. L IU Genes are often regulated in living cells by proteins called transcription factors that bind directly to short segments of DNA i Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2008-02-26 17:59:19 Statistics Machine learning Cluster analysis Computational statistics Bioinformatics Hierarchical clustering Network analysis Dirichlet process K-means clustering DNA binding site Expectationmaximization algorithm Consensus clustering
196	Bayesian variable selection and data integration for biological regulatory networks Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2007-12-05 10:57:25 Gene expression DNA Biological databases RNA Transcription factors Gene regulatory network Regulation of gene expression Promoter ENCODE Cis-regulatory element Chromatin immunoprecipitation Regulatory sequence
197	Developmental Psychology Children’s Causal Inferences From Conflicting Testimony and Observations Sophie Bridgers, Daphna Buchsbaum, Elizabeth Seiver, Thomas L. Griffiths, and Alison Gopnik Online First Publication, No Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2015-11-24 14:35:02 Philosophy Metaphysics Philosophy of science Knowledge Information Causality Conditionals Statistical models Informant Bayesian network Determinism Causal reasoning
198	Course Description: Bayesian methodology and (Markov chain) Monte Carlo simulation for financial applications 3 ECTS Professor Antonietta Mira Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2014-06-16 09:49:33 Statistics Statistical theory Monte Carlo methods Markov models Markov chain Monte Carlo Computational statistics Statistical mechanics Bayesian network Bayesian inference Approximate Bayesian computation Bayesian statistics MetropolisHastings algorithm
199	Uncertain<T>: A First-Order Type for Uncertain Data Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2014-01-10 00:11:41 Statistics Statistical theory Statistical inference Bayesian statistics Statistical models Measurement Bayesian network Probability distribution Bayesian inference Normal distribution Global Positioning System Confidence interval
200	Vida: How to use Bayesian inference to de-anonymize persistent communications George Danezis1 and Carmela Troncoso2 1 2 Add to Reading List Source URL: www0.cs.ucl.ac.uk Language: English - Date: 2013-10-10 06:48:53 Statistics Statistical theory Probability Probability distributions Statistical inference IP Bayesian inference Gibbs sampling Markov chain Binomial distribution Bayesian network

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