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Kullback–Leibler divergence
Results: 486

#	Item
221	Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures Konstantinos Bousmalis1 , Stefanos Zafeiriou1 , Louis–Philippe Morency2 , Maja Pantic1 , and Zoubin Ghahramani3 1 Add to Reading List Source URL: multicomp.ict.usc.edu Language: English - Date: 2013-07-12 06:30:16 Statistical models Cluster analysis Machine learning Mixture model Markov chain Beta distribution Kullback–Leibler divergence Expectation–maximization algorithm Hidden Markov model Statistics Probability and statistics Markov models
222	An Information-Theoretic Approach to Traffic Matrix Estimation Yin Zhang Matthew Roughan Carsten Lund David Donoho Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2006-04-11 12:37:31 Linear algebra Matrix theory Numerical linear algebra Matrix Inverse problem Normal distribution Peering Kullback–Leibler divergence Routing Algebra Mathematics Statistics
223	[removed]Project Report: Parallel LDA, Truth or Dare? Aapo Kyrölä Department of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-04 13:22:06 Latent Dirichlet allocation Kullback–Leibler divergence Gibbs sampling Normal distribution Divergence Perplexity Sampling Multinomial distribution Topic model Statistics Statistical natural language processing Statistical theory
224	Experience matters 1 Experience matters 1 Experience matters 1 Experience matters: Add to Reading List Source URL: www.jonathandnelson.com Language: English - Date: 2009-09-22 20:01:46 Probability theory Statistical theory Probability Kullback–Leibler divergence Bayesian inference Conditional probability Likelihood function Prior probability Random variable Statistics Bayesian statistics Probability and statistics
225	Psychological Review 2005, Vol. 112, No. 4, 979 –999 Copyright 2005 by the American Psychological Association 0033-295X/05/$12.00 DOI: [removed]295X[removed] Add to Reading List Source URL: www.jonathandnelson.com Language: English - Date: 2006-09-22 15:56:27 Statistical inference Probability and statistics Bayesian statistics Statistical theory Information theory Kullback–Leibler divergence Mutual information Sampling Posterior probability Statistics Science Information
226	Who Killed the Directed Model? Justin Domke, Alap Karapurkar, and Yiannis Aloimonos Department of Computer Science University of Maryland {domke,karapurk,yiannis}@cs.umd.edu Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2008-04-07 18:18:38 Bayesian statistics Statistical models Estimation theory Graphical models Markov random field Mixture model Maximum likelihood Kullback–Leibler divergence Hidden Markov model Statistics Probability and statistics Statistical theory
227	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 47, NO. 4, MAY[removed]Rényi’s Divergence and Entropy Rates for Finite Alphabet Markov Sources 1553 Add to Reading List Source URL: www.mast.queensu.ca Language: English - Date: 2001-08-09 15:03:54 Probability and statistics Rényi entropy Kullback–Leibler divergence Entropy Markov chain Hartley function Divergence Jensen–Shannon divergence Quantum relative entropy Information theory Statistics Information
228	Differentially-private Learning and Information Theory Darakhshan Mir Department of Computer Science Rutgers University NJ, USA Add to Reading List Source URL: www.edbt.org Language: English - Date: 2012-02-01 18:26:38 Data privacy Estimation theory Differential privacy Loss function Exponential mechanism Kullback–Leibler divergence Linear regression Confidence interval Exponential distribution Statistics Econometrics Statistical theory
229	Theory and Applications of Categories, Vol. 29, No. 16, 2014, pp. 422–456. A BAYESIAN CHARACTERIZATION OF RELATIVE ENTROPY JOHN C. BAEZ AND TOBIAS FRITZ Abstract. We give a new characterization of relative entropy, al Add to Reading List Source URL: www.emis.de Language: English - Date: 2014-08-12 07:52:00 Probability theory Information Randomness Mathematics Entropy Kullback–Leibler divergence Morphism Sheaf Probability space Information theory Statistics Statistical theory
230	RANDOM FORESTS IN THE EVALUATION OF THREAT FOR PEDESTRIAN ACCIDENTS IN TOWNS Marzena Nowakowska Faculty of Management and Computer Modelling Add to Reading List Source URL: www.ictct.org Language: English - Date: 2014-12-22 09:43:36 Road safety Road traffic safety Traffic collision Bootstrap aggregating Kullback–Leibler divergence Traffic Transport Land transport Road transport

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