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Kullback–Leibler divergence
Results: 486

#	Item
231	18th World IMACS / MODSIM Congress, Cairns, Australia[removed]July 2009 http://mssanz.org.au/modsim09 Information-Theoretic Strategies for Quantifying Variability and Model-Reality Comparison in the Climate System 1,2,3 Add to Reading List Source URL: people.physics.anu.edu.au Language: English - Date: 2009-08-19 01:07:02 Probability and statistics Kullback–Leibler divergence Mutual information Entropy Joint entropy Differential entropy Normal distribution Information theory Statistics Information
232	Journal of Machine Learning Research[removed]1561 Submitted 8/09; Revised 3/10; Published 4/10 Hilbert Space Embeddings and Metrics on Probability Measures Bharath K. Sriperumbudur Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2010-05-06 01:28:07 Operator theory Generalized functions Hilbert space Functional analysis Dirac delta function Kullback–Leibler divergence Reproducing kernel Hilbert space Distribution Continuous function Mathematical analysis Mathematics Fourier analysis
233	? Objective Bayesianism and the Maximum Entropy Principle ? Jürgen Landes and Jon Williamson Draft of September 3, 2013 Add to Reading List Source URL: www.kent.ac.uk Language: English - Date: 2013-09-03 09:46:50 Information theory Mathematics Philosophy of thermal and statistical physics Thermodynamic entropy Principle of maximum entropy Entropy Connection Kullback–Leibler divergence Probability space Statistics Statistical theory Probability and statistics
234	ClusterJoin: A Similarity Joins Framework using Map-Reduce ∗ Akash Das Sarma Add to Reading List Source URL: www.vldb.org Language: English - Date: 2014-07-05 20:51:39 Partition Filter Kullback–Leibler divergence Uniform space Mathematics Combinatorics Number theory
235	Learning Tractable Word Alignment Models with Complex Constraints João V. Graça∗ 2 L F INESC-ID Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-04-28 17:51:54 Bayesian statistics Information theory Kullback–Leibler divergence Thermodynamics Expectation–maximization algorithm Maximum likelihood Principle of maximum entropy Entropy Divergence Statistics Statistical theory Estimation theory
236	Bucher’s 420 N. 4th Street, Catawissa • [removed]Christian Missionary Alliance W. Center Street[removed][removed]or[removed] Add to Reading List Source URL: www.campingroadtrip.com Language: English Vehicle Identification Number Kullback–Leibler divergence Cthulhu Mythos reference codes and bibliography
237	An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams Tamraparni Dasu Shankar Krishnan Suresh Venkatasubramanian AT&T Labs – Research Ke Yi Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2005-05-18 14:20:24 Non-parametric statistics Statistical tests Hypothesis testing Kullback–Leibler divergence Bootstrapping Resampling Normal distribution Information theory Kolmogorov–Smirnov test Statistics Statistical inference Statistical theory
238	Optimal weight constraint elicitation for additive multi-attribute utility models Gert van Valkenhoef, Tommi Tervonen EURO 2013, Rome, Italy, July 2013 Add to Reading List Source URL: drugis.org Language: English - Date: 2013-12-04 08:49:55 Information Thermodynamics Philosophy of thermal and statistical physics Thermodynamic entropy Entropy Kullback–Leibler divergence Utility Conditional entropy Mutual information Information theory Statistical theory Statistics
239	Overlapping Mixtures of Gaussian Processes for the Data Association Problem Miguel L´azaro Gredilla Dept. of Signal Theory and Communications Carlos III University of Madrid Legan´es, Spain Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2011-02-11 07:00:19 Variational Bayesian methods Normal distribution Kullback–Leibler divergence Multivariate normal distribution Kalman filter Mixture model Expectation–maximization algorithm Conjugate prior Statistics Bayesian statistics Statistical models
240	Information Theory of Decisions and Actions Naftali Tishby and Daniel Polani Abstract The perception-action cycle is often defined as “the circular flow of information between an organism and its environment in the cou Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2010-01-27 11:50:00 Statistical theory Dynamic programming Markov processes Markov models Bellman equation Markov decision process Conditional entropy Kullback–Leibler divergence Mutual information Statistics Information theory Probability and statistics

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