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Divergence
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261	Basis for discussion in the introduction of newly admitted doctoral students Name: ................................................ The aim of this documentation is to identify any areas of divergence in the expectations Add to Reading List Source URL: www.cgb.lu.se Language: English - Date: 2010-10-27 06:46:16
262	Learning the β-Divergence in Tweedie Compound Poisson Matrix Factorization Models Umut S ¸ im¸sekli Dept. of Computer Engineering, Bo˘ Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-08-14 01:36:44
263	New parametric generalized exponential fuzzy divergence measure Add to Reading List Source URL: www.juaa-journal.com Language: English Constructible universe Fuzzy logic Probability theory Fuzzy measure theory
264	Learning to imitate stochastic time series in a compositional way by chaos Accepted in Neural Networks Jun Namikawa Add to Reading List Source URL: www.tech.plym.ac.uk Language: English - Date: 2011-03-23 09:51:20 Markov models Estimation theory Kullback–Leibler divergence Thermodynamics Recurrent neural network Long short term memory Hidden Markov model Maximum likelihood Markov chain Statistics Neural networks Statistical theory
265	Divergence measures and message passing Thomas Minka Microsoft Research Ltd., Cambridge, UK MSR-TR, December 7, 2005 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-04-13 13:22:10 Divergence Kullback–Leibler divergence Hellinger distance Closed and exact differential forms Calculus of variations Rényi entropy Bessel function Statistics Geometry Information theory
266	Microsoft Word - JapanGreatDivergence7f Add to Reading List Source URL: www2.warwick.ac.uk Language: English - Date: 2015-05-20 04:49:57 Macroeconomics Economic history Great Divergence Industrial Revolution Modern history Economy of Japan Gross domestic product Population decline Japan Economics Economic growth Asia
267	DOI: http://dx.doi.orgch014 Adaptation and Divergence during Experimental Evolution of Multicellular Saccharomyces cerevisiae Maria Rebolleda-Gomez1,2, William Ratcliff1,2 and Michael Travisan Add to Reading List Source URL: www.ratclifflab.biology.gatech.edu Language: English - Date: 2014-12-09 07:24:03 Multicellular organism Biodiversity Experimental evolution Polymorphism Allopatric speciation Bacteria Biology Evolutionary biology Evolution
268	Nat. Hazards Earth Syst. Sci., 11, 2075–2083, 2011 www.nat-hazards-earth-syst-sci.netdoi:nhess © Author(sCC Attribution 3.0 License. Natural Hazards Add to Reading List Source URL: www.nat-hazards-earth-syst-sci.net Language: English - Date: 2014-12-04 02:03:33 Information theory Thermodynamic entropy Science Philosophy of thermal and statistical physics Thermodynamics Principle of maximum entropy Entropy Mutual information Kullback–Leibler divergence Statistics Statistical theory Probability and statistics
269	USING THE METHOD OF NEARBY MEASURES IN SUPERPOSITION CODING WITH A BERNOULLI DICTIONARY Cynthia Rush and Andrew R. Barron, Department of Statistics, Yale University, New Haven, CTemail: {cynthia.rush, andrew.barro Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2014-01-08 19:58:53 Information theory Philosophy of thermal and statistical physics Normal distribution Entropy Central limit theorem Principle of maximum entropy Kullback–Leibler divergence Constructible universe Statistics Statistical theory Probability and statistics
270	ON CHOOSING AND BOUNDING PROBABILITY METRICS ALISON L. GIBBS AND FRANCIS EDWARD SU Manuscript version January 2002 Abstract. When studying convergence of measures, an important issue is the choice of probability metric. Add to Reading List Source URL: www.math.hmc.edu Language: English - Date: 2002-02-04 06:25:27 Measure theory Metric geometry Mathematics Wasserstein metric Statistical distance Symbol Kullback–Leibler divergence Probability space Radon–Nikodym theorem Mathematical analysis Probability theory Statistics

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