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Principle of maximum entropy
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#	Item
201	Many Kinds of Confirmation* Malcolm Forster May 21, 2001 Example 1, Problem 1: Suppose that there are two processes by which a disease is contracted (event D) depending on two genotypes in the population. Add to Reading List Source URL: philosophy.wisc.edu Language: English - Date: 2011-09-15 11:57:01 Statistical theory Bayesian inference Statistical forecasting Statistical inference Expected value Principle of maximum entropy Bayesian probability Statistics Bayesian statistics Probability and statistics
202	Quasi-Continuous Maximum Entropy Distribution Approximation with Kernel Density Add to Reading List Source URL: www.fernuni-hagen.de Language: English - Date: 2011-12-05 03:57:21 Non-parametric statistics Statistical theory Randomness Kernel density estimation Entropy Normal distribution Principle of maximum entropy Maximum entropy probability distribution Kernel Statistics Probability and statistics Information theory
203	Bayesian Methods and Universal Darwinism John Campbell Abstract. Bayesian methods since the time of Laplace have been understood by their practitioners as closely aligned to the scientific method. Indeed a recent champio Add to Reading List Source URL: www.universaldarwinism.com Language: English - Date: 2009-10-12 12:38:57 Probability and statistics Statistical theory Philosophy of thermal and statistical physics Interdisciplinary fields Evolution Universal Darwinism Principle of maximum entropy Edwin Thompson Jaynes Bayesian brain Statistics Bayesian statistics Science
204	Automatic Out-of-Language Detection based on Confidence Measures derived from LVCSR Word and Phone Lattices Petr Motlicek Idiap Research Institute, Martigny, Switzerland [removed] Add to Reading List Source URL: publications.idiap.ch Language: English - Date: 2009-09-21 10:37:33 Statistical theory State functions Thermodynamics Philosophy of thermal and statistical physics Thermodynamic entropy Principle of maximum entropy Speech recognition Entropy OOV Statistics Probability and statistics Markov models
205	i Olaf Behnke, Kevin Kröninger, Grégory Schott, and Thomas Schörner-Sadenius: Data Analysis in High Energy Physics — [removed] — page V — le-tex i Add to Reading List Source URL: www.wiley-vch.de Language: English - Date: 2013-10-24 21:37:20 Regression analysis Statistical inference Bayesian statistics Maximum likelihood Least squares Principle of maximum entropy Confidence interval Linear discriminant analysis Nuisance parameter Statistics Statistical theory Estimation theory
206	Fundamentals of Speaker Recognition Homayoon Beigi Fundamentals of Speaker Recognition Add to Reading List Source URL: www.fundamentalsofspeakerrecognition.org Language: English - Date: 2011-11-08 09:04:19 Signal processing Randomness Thermodynamics Kullback–Leibler divergence Mel-frequency cepstrum Principle of maximum entropy Vector quantization Estimation theory Speaker recognition Statistics Information theory Statistical theory
207	The Factorized Distribution Algorithm and the Minimum Relative Entropy Principle Heinz Muhlenbein ¨ and Robin Hons ¨ Add to Reading List Source URL: muehlenbein.org Language: English - Date: 2007-10-25 11:27:34 Statistical theory Statistical models Graphical models Estimation of distribution algorithm Evolutionary computation Bayesian network Factorization Principle of maximum entropy Kullback–Leibler divergence Statistics Probability and statistics Bayesian statistics
208	The Journal of Neuroscience, January 5, 2011 • 31(1):55– 63 • 55 Cellular/Molecular Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches Add to Reading List Source URL: woodrowshew.com Language: English - Date: 2011-01-19 10:48:43 Statistical theory Neurophysiology Electrophysiology Cognition Philosophy of thermal and statistical physics Entropy Principle of maximum entropy Multielectrode array Information theory Science Biology Anatomy
209	Learning from Noisy Side Information by Generalized Maximum Entropy Model Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2010-05-21 10:46:22 Statistical theory Multivariate statistics Information Age Mutual information Constrained clustering Cluster analysis Principle of maximum entropy Segmentation Entropy Statistics Information theory Machine learning
210	Unsupervised Transfer Classification: Application to Text Categorization Tianbao Yang, Rong Jin, Anil K. Jain, Yang Zhou, Wei Tong Department of Computer Science and Engineering Michigan State University, East Lansing, M Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2010-05-21 10:45:42 Statistical theory Formal sciences Information theory Bayesian statistics Pattern recognition Principle of maximum entropy Support vector machine Entropy Supervised learning Statistics Machine learning Probability and statistics

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