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Principle of maximum entropy
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151	Selective Sampling for Information Extraction with a Committee of Classifiers Evaluating Machine Learning for Information Extraction, Track 2 Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-10 14:22:15 Parts of speech Machine learning Bayesian statistics Classifier Kullback–Leibler divergence Statistical classification Principle of maximum entropy Information extraction Statistics Statistical theory Probability and statistics
152	Maximum Entropy Models for Named Entity Recognition Oliver Bender and Franz Josef Och and Hermann Ney Add to Reading List Source URL: www.cnts.ua.ac.be Language: English - Date: 2003-06-04 15:47:13 Probability Statistical theory Bayesian statistics Information theory Speech recognition Entropy Natural language processing Principle of maximum entropy Normal distribution Statistics Probability and statistics Computational linguistics
153	MAXIMUM ENTROPY RELAXATION FOR GRAPHICAL MODEL SELECTION GIVEN INCONSISTENT STATISTICS Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky Laboratory for Information and Decision Systems Department of Electrical Eng Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-02-01 13:45:54 Bayesian statistics Information theory Statistical models Exponential family Expectation–maximization algorithm Maximum likelihood Principle of maximum entropy Fisher information Entropy Statistics Estimation theory Statistical theory
154	Sequence Modelling for Sentence Classification in a Legal Summarisation System Ben Hachey Claire Grover Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-10 14:22:15 Natural language processing Automatic summarization Sentence Word-sense disambiguation Information extraction Entropy Maximum-entropy Markov model Principle of maximum entropy Rhetoric Linguistics Science Computational linguistics
155	MaxEnt A program for maximum entropy modelling of species geographic distributions, written by Steven Phillips, Miro Dudik and Rob Schapire, with support from AT&T Labs-Research, Princeton University, and the Center for Add to Reading List Source URL: www.vertnet.org Language: English - Date: 2014-06-04 13:29:21 Econometrics Probability theory Principle of maximum entropy Statistical theory Multinomial logit Parameter Variance Sample Plot Statistics Regression analysis Bayesian statistics
156	4 Information in Physical Systems What is information? A good answer is that information is what you don’t already know. You do not learn much from being told that the sun will rise tomorrow morning; you learn a great Add to Reading List Source URL: academy.cba.mit.edu Language: English - Date: 2013-02-25 23:29:12 Information Kullback–Leibler divergence Additive white Gaussian noise Entropy Differential entropy Mutual information Channel capacity Normal distribution Principle of maximum entropy Statistics Information theory Probability and statistics
157	16 Density Estimation We’ve learned more and more about how to describe and fit functions, but the decision to fit a function can itself be unduly restrictive. Instead of assuming a noise model for the data (such as G Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-14 17:27:29 Estimation theory Bayesian statistics Expectation–maximization algorithm Missing data Normal distribution Kernel density estimation Entropy Maximum likelihood Principle of maximum entropy Statistics Statistical theory Non-parametric statistics
158	Spatial maximum entropy modeling from presence/absence tropical forest data Matteo Adorisio,1 Jacopo Grilli,1 Samir Suweis,1 Sandro Azaele,2 Jayanth R. Banavar,3 and Amos Maritan1 1 arXiv:1407.2425v1 [q-bio.PE] 9 Jul 201 Add to Reading List Source URL: ctfs.arnarb.harvard.edu Language: English - Date: 2014-07-15 10:53:10 Biology Information theory Ecosystem Superorganisms Symbiosis Systems ecology Ecology Principle of maximum entropy Entropy Statistics Statistical theory Probability and statistics
159	Random number generators for cryptography – design, evaluation and tests Viktor Fischer Hubert Curien Laboratory, Jean Monnet University Saint-Etienne, France Random numbers are crucial in cryptography: they are used a Add to Reading List Source URL: www.chesworkshop.org Language: English - Date: 2014-06-17 09:40:30 Pseudorandom number generators Information theory Formal sciences Random number generation Hardware random number generator Entropy Key Principle of maximum entropy Randomness tests Cryptography Randomness Probability and statistics
160	Information and Entropy A NIMBioS Investigative Workshop April 8-10, 2015 NIMBioS at the Univ. of Tennessee, Knoxville Information theory and entropy methods are becoming powerful tools in biology, from the level of indi Add to Reading List Source URL: www.nimbios.org Language: English - Date: 2014-06-23 14:29:31 Statistical theory State functions Cybernetics Thermodynamic entropy Biostatistics National Institute for Mathematical and Biological Synthesis Entropy Information theory Principle of maximum entropy Science Statistics Applied mathematics

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