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Divergence
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#	Item
91	Supplementary Material Spectral Processing of Tangential Vector Fields The Hodge–Laplace Operator for Vector Fields In this supplementary material, we derive a formula for the Hodge–Laplace operator for vector fields Add to Reading List Source URL: graphics.tudelft.nl Language: English - Date: 2016-03-30 16:50:23 Vector calculus Differential operators Differential forms Multivariable calculus Generalizations of the derivative Curl Hodge dual Operator Divergence Laplace operator Exterior derivative Vector field
92	Factored Filtering of Continuous-Time Systems E. Busra Celikkaya Christian R. Shelton University of California, Riverside University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-06-23 16:38:35 Markov models Markov processes KullbackLeibler divergence Statistical theory Thermodynamics Probability distributions Uniformization Expectationmaximization algorithm Markov chain Bayesian network Stochastic matrix
93	Towards Compatible and Interderivable Semantic Specifications for the Scheme Programming Language, Part II: Reduction Semantics and Abstract Machines Małgorzata Biernacka Olivier Danvy Add to Reading List Source URL: www.schemeworkshop.org Language: English - Date: 2015-04-20 13:48:41 Logic in computer science Operational semantics Lambda calculus Closure Combinatory logic Denotational semantics Divergence Rewriting Algorithm Semantics Standard ML
94	JMLR: Workshop and Conference Proceedings vol 40:1–35, 2015 On Learning Distributions from their Samples Sudeep Kamath SUKAMATH @ PRINCETON . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Probability distributions Statistical theory KullbackLeibler divergence Binomial distribution Beta distribution Estimation theory Median Normal distribution Bias of an estimator
95	Sparse Learning of Markovian Population Models in Random Environments Christoph Zechner1 , Federico Wadehn1 , and Heinz Koeppl1,2,3 1 arXiv:1401.4026v1 [q-bio.QM] 16 Jan 2014 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-16 20:42:47 Probability distributions Infinitely divisible probability distributions Statistical theory Exponentials Markov models Variational Bayesian methods Gamma distribution Bayesian network KullbackLeibler divergence Bayesian inference Expectationmaximization algorithm Markov chain
96	Algorithms for Non-negative Matrix Factorization Daniel D. Lee* BelJ Laboratories Lucent Technologies Add to Reading List Source URL: papers.nips.cc Language: English* - Date: 2014-04-15 02:01:26 Matrix theory Multivariate statistics Linear algebra Non-negative matrix factorization Matrix Derivative KullbackLeibler divergence Divergence PerronFrobenius theorem Convolution Principal component analysis
97	Deep neural network context embeddings for model selection in rich-context HMM synthesis Thomas Merritt1 , Junichi Yamagishi1,2 , Zhizheng Wu1 , Oliver Watts1 , Simon King1 1 The Centre for Speech Technology Research, U Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Markov models Automatic identification and data capture Computer accessibility Speech recognition Speech synthesis Hidden Markov model KullbackLeibler divergence
98	BULLETIN OF MARINE SCIENCE, 82(1): 19–31, 2008 Genetic divergence among sympatric populations of three species of oyster drills (Urosalpinx) in Cedar Key, Florida John D. Robinson and Robert T. Dillon, Jr. Add to Reading List Source URL: www.fwgna.org Language: English - Date: 2016-06-01 10:43:59 Muricidae Urosalpinx tampaensis Urosalpinx cinerea Temperature gradient gel electrophoresis Genetic distance
99	How biased are maximum entropy models? Jakob H. Macke Gatsby Computational Neuroscience Unit University College London, UK Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Statistical theory Information theory Randomness Statistical randomness Estimation theory Entropy Principle of maximum entropy KullbackLeibler divergence Maximum likelihood estimation Normal distribution Differential entropy Maximum entropy probability distribution
100	Bayesian Learning Using Automatic Relevance Determination Prior with an Application to Earthquake Early Warning Chang Kook Oh1; James L. Beck2; and Masumi Yamada3 Abstract: A novel method of Bayesian learning with automa Add to Reading List Source URL: www.eqh.dpri.kyoto-u.ac.jp Language: English - Date: 2010-06-15 00:37:08 Statistical theory Naive Bayes classifier Statistical classification Bayesian inference KullbackLeibler divergence Bayesian network

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