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Kullback–Leibler divergence
Results: 486

#	Item
251	A FAMILY OF DISCRIMINATIVE TRAINING CRITERIA BASED ON THE F-DIVERGENCE FOR DEEP NEURAL NETWORKS Markus Nussbaum-Thom1,2 , Xiaodong Cui1 , Ralf Schl¨uter2 , Vaibhava Goel1 , Hermann Ney2,3 1 2 Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Mathematical analysis Statistical theory Randomness Kullback–Leibler divergence Thermodynamics Divergence Mutual information Entropy Cross entropy Statistics Information theory Mathematics
252	A FAMILY OF DISCRIMINATIVE TRAINING CRITERIA BASED ON THE F-DIVERGENCE FOR DEEP NEURAL NETWORKS Markus Nussbaum-Thom1,2 , Xiaodong Cui1 , Ralf Schl¨uter2 , Vaibhava Goel1 , Hermann Ney2,3 1 2 Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Mathematical analysis Statistical theory Randomness Kullback–Leibler divergence Thermodynamics Divergence Mutual information Entropy Cross entropy Statistics Information theory Mathematics
253	A FAMILY OF DISCRIMINATIVE TRAINING CRITERIA BASED ON THE F-DIVERGENCE FOR DEEP NEURAL NETWORKS Markus Nussbaum-Thom1,2 , Xiaodong Cui1 , Ralf Schl¨uter2 , Vaibhava Goel1 , Hermann Ney2,3 1 2 Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Mathematical analysis Statistical theory Randomness Kullback–Leibler divergence Thermodynamics Divergence Mutual information Entropy Cross entropy Statistics Information theory Mathematics
254	Investigating the Effects of Selective Sampling on the Annotation Task Ben Hachey, Beatrice Alex and Markus Becker School of Informatics University of Edinburgh Edinburgh, EH8 9LW, UK {bhachey,v1balex,s0235256}@inf.ed.ac Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-10 14:22:15 Natural language processing Named-entity recognition Kullback–Leibler divergence Annotation Parsing Information extraction Type–token distinction Treebank Sampling Computational linguistics Science Linguistics
255	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
256	Journal of Machine Learning Research[removed]773 Submitted 4/08; Revised 11/11; Published 3/12 A Kernel Two-Sample Test Arthur Gretton∗ Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-09-26 13:39:43 Normal distribution Kolmogorov–Smirnov test V-statistic Variance Statistical hypothesis testing F-distribution Fourier transform Kullback–Leibler divergence Cumulative distribution function Statistics Statistical inference Fourier analysis
257	Approximate inference for the loss-calibrated Bayesian Simon Lacoste-Julien University of Cambridge 1 Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2011-12-02 09:14:29 Bayesian statistics Econometrics Bayesian inference Expectation–maximization algorithm Loss function Kullback–Leibler divergence Bayes estimator Marginal likelihood Maximum likelihood Statistics Estimation theory Statistical theory
258	Efficient Test Selection in Active Diagnosis via Entropy Approximation Alice X. Zheng Department of EECS U. C. Berkeley Berkeley, CA[removed] Add to Reading List Source URL: alicezheng.org Language: English - Date: 2013-11-10 20:07:14 Statistical theory Probability theory Bayesian statistics Networks Belief propagation Kullback–Leibler divergence Information theory G-test Bayesian network Statistics Probability and statistics Graphical models
259	Dynamics in Congestion Games Devavrat Shah Jinwoo Shin ∗ Add to Reading List Source URL: web.mit.edu Language: English - Date: 2010-05-25 11:33:31 Markov chain Kullback–Leibler divergence Support Ordinal number Mixing Statistics Mathematical analysis Measure theory
260	Optimising Selective Sampling for Bootstrapping Named Entity Recognition Markus Becker M . BECKER @ ED . AC . UK Ben Hachey BHACHEY @ INF. ED . AC . UK Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-10 14:22:15 Natural language processing Kullback–Leibler divergence Statistical theory Thermodynamics Information extraction Named-entity recognition Akaike information criterion Annotation Part-of-speech tagging Computational linguistics Science Linguistics

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