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Kullback–Leibler divergence
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171	Notes 09 Statistical Machine Learning Probabilistic Learning Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:35 Maximum likelihood Fisher information Normal distribution Likelihood function Bias of an estimator Multivariate normal distribution Loss function Kullback–Leibler divergence Statistics Estimation theory Statistical theory
172	PatRec1104004BerikovLO.fm Add to Reading List Source URL: www.math.nsc.ru Language: English - Date: 2012-06-28 01:34:26 Bayesian inference Kullback–Leibler divergence Thermodynamics Bayes estimator Model selection Gamma distribution Expectation–maximization algorithm Statistics Estimation theory Statistical theory
173	Optimized Expected Information Gain for Nonlinear Dynamical Systems Alberto Giovanni Busetto1,2,3 [removed] Cheng Soon Ong1 Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Bayesian statistics Design of experiments Statistical methods Optimal design Mathematical model Kullback–Leibler divergence Bayesian inference Maximum likelihood Dynamical system Statistics Statistical theory Systems engineering
174	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: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:37:12 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
175	Principles of Artificial Intelligence Fall 2005 Handout #6 Learning Vasant Honavar Artificial Intelligence Research Laboratory Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2009-08-25 18:32:21 Machine learning Learning Information theory Statistical hypothesis testing Decision tree learning Kullback–Leibler divergence Statistics Cybernetics Science
176	Learnability of Probabilistic Automata via Oracles Omri Guttman ? , S.V.N. Vishwanathan, and Robert C. Williamson Statistical Machine Learning Program National ICT Australia RSISE, Australian National University Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-05-22 19:18:42 Mathematics Automata theory Algorithm Markov chain Computational learning theory Symbol Kullback–Leibler divergence Statistics Theoretical computer science Applied mathematics
177	Environmental policy under model uncertainty: a robust optimal control approach Michael Funke & Michael Paetz Add to Reading List Source URL: www.uni-hamburg.de Language: English - Date: 2013-04-10 04:57:23 Decision theory Environmental economics Economics of global warming Loss function Robustness Kullback–Leibler divergence Uncertainty Statistics Statistical theory Climate change policy
178	Maximizing the Divergence from a Hierarchical Model of Quantum States Stephan Weis Andreas Knauf Nihat Ay Add to Reading List Source URL: www.santafe.edu Language: English - Date: 2015-02-16 13:13:37 Probability and statistics Statistical theory Quantum mechanics Quantum information science Statistical dependence Kullback–Leibler divergence Density matrix Entropy Quantum entanglement Statistics Physics Information theory
179	The Convexity and Design of Composite Multiclass Losses Mark D. Reid MARK . REID @ ANU . EDU . AU Robert C. Williamson BOB . WILLIAMSON @ ANU . EDU . AU Research School of Computer Science, The Australian National Univer Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-04-15 22:23:26 Convex function Convex optimization Function Norm Scoring rule Legendre transformation Kullback–Leibler divergence Convex analysis Mathematics Mathematical analysis
180	Notes 11 Statistical Machine Learning Probabilistic Learning Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:37 Maximum likelihood Fisher information Normal distribution Multivariate normal distribution Likelihood function Kullback–Leibler divergence Bias of an estimator Support Expectation–maximization algorithm Statistics Estimation theory Statistical theory

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