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Probability distribution
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#	Item
31	CDAS: A Crowdsourcing Data Analytics System Xuan Liu†, Meiyu Lu† , Beng Chin Ooi† , Yanyan Shen† , Sai Wu§ , Meihui Zhang† †School of Computing, National University of Singapore, Singapore §College of Compu Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-06-21 00:37:19 Statistics Statistical theory Probability Probability distributions Crowdsourcing Sampling Normal distribution Confidence interval
32	Scalable Training of Mixture Models via Coresets Dan Feldman MIT Matthew Faulkner Add to Reading List Source URL: eew.caltech.edu Language: English - Date: 2012-05-15 11:47:37 Statistics Probability Maximum likelihood estimation Probability distributions Bayesian statistics Expectationmaximization algorithm Mixture model Normal distribution K-means clustering Likelihood function Data stream clustering Gamma distribution
33	Non-Parametric Jensen-Shannon Divergence Hoang-Vu Nguyen and Jilles Vreeken Max-Planck Institute for Informatics and Saarland University, Germany {hnguyen,jilles}@mpi-inf.mpg.de Abstract. Quantifying the difference betw Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2015-06-16 04:34:55 Statistics Probability Mathematical analysis Information theory Statistical theory Statistical distance Probability distributions Stable distributions KullbackLeibler divergence Normal distribution Divergence Entropy
34	Value–at–Risk Prediction: A Comparison of Alternative Strategies∗ Keith Kuestera a Stefan Mittnikb c d † Add to Reading List Source URL: www.keithkuester.eu Language: English - Date: 2007-10-14 06:50:06 Statistics Mathematical analysis Probability Probability distributions Regression analysis Linear regression Normal distribution Quantile regression Quantile function Beta distribution Value at risk Skewness
35	SYSARCOctober 2005 Disk Used No. of Pages 17, Model 3+ ARTICLE IN PRESS Add to Reading List Source URL: www.des.udc.es Language: English - Date: 2005-10-29 15:50:41 Cache Computer memory Computing Software engineering Probability distribution Locality of reference Probability Optimizing compiler Computer programming
36	Quantifying Generalization in Linearly Weighted Neural Networks (Short title: Quantifying Generalization) Martin Anthony1 and Sean B. Holden2 Abstract Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2000-04-03 14:52:08 Machine learning Learning Artificial intelligence Computational learning theory Computational statistics Statistical classification Computational neuroscience VC dimension Artificial neural network Probably approximately correct learning Probability distribution Uniform convergence
37	Entropy 2013, 15, ; doi:e15083209 OPEN ACCESS entropy ISSNwww.mdpi.com/journal/entropy Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Statistics Physics Probability Statistical theory Thermodynamic entropy Information theory Philosophy of thermal and statistical physics Randomness Entropy Principle of maximum entropy KullbackLeibler divergence Maximum entropy probability distribution
38	Supplementary Discussion for ET Might Write Not Radiate Christopher Rose1, and Gregory Wright2 1 Department of Electrical and Computer Engineering Add to Reading List Source URL: antiope.com Language: English - Date: 2008-08-03 12:41:59 Mathematical analysis Statistics Probability Probability distributions Infinitely divisible probability distributions Poisson processes Exponential distribution Exponentials
39	arXiv:1201.0473v1 [math-ph] 2 JanA UNIVERSALITY THEOREM FOR RATIOS OF RANDOM CHARACTERISTIC POLYNOMIALS JONATHAN BREUER AND EUGENE STRAHOV Abstract. We consider asymptotics of ratios of random characteristic Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-01-03 20:57:09 Mathematical analysis Mathematics Functional analysis Ordinal number Wellfoundedness Constructible universe Distribution Probability distributions Differential forms on a Riemann surface Isotope lists 73-96
40	Maximum Likelihood Estimation of Dirichlet Distribution Parameters Jonathan Huang Abstract. Dirichlet distributions are commonly used as priors over proportional data. In this paper, I will introduce this distribution, d Add to Reading List Source URL: jonathan-huang.org Language: English - Date: 2014-09-08 21:47:30 Statistics Mathematical analysis Probability Probability distributions Gamma distribution Dirichlet distribution Exponential family Beta distribution Mixture model Multinomial distribution Likelihood function Maximum likelihood estimation