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Exponential distribution
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21	LNCSOur Data, Ourselves: Privacy Via Distributed Noise Generation Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-09-15 04:56:28 Statistics Probability Mathematical analysis Probability distributions Normal distribution Randomness extractor Exponential distribution Central limit theorem Gaussian function
22	Fast d-DNNF Compilation with sharpSAT Christian Muise Sheila McIlraith J. Christopher Beck Add to Reading List Source URL: www.haz.ca Language: English - Date: 2013-10-28 07:18:32 Theoretical computer science Mathematics Formal methods Constraint programming Boolean algebra Automated theorem proving DPLL algorithm Binary decision diagram Exponential time hypothesis Computational complexity theory Bayesian network Distribution
23	Industry 4.0 Challenges and solutions for the digital transformation and use of exponential technologies Audit. Tax. Consulting. Corporate Finance. Add to Reading List Source URL: www.industrie2025.ch Language: English - Date: 2016-06-26 12:26:37 Distribution Emerging technologies Manufacturing Industrial Revolution Industry 4.0 Internet of Things Supply chain Smart grid ABB Group Smart manufacturing New ICT
24	Inference, Models and Simulation for Complex Systems Lecture 1 Prof. Aaron Clauset 1 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2011-08-25 15:05:50 Probability distributions Infinitely divisible probability distributions Poisson processes Statistical theory Estimation theory Exponential distribution Poisson distribution Maximum likelihood estimation Geometric distribution Memorylessness Binomial distribution Parametric model
25	February 19, :12 Journal of Biological Dynamics Add to Reading List Source URL: www.rocq.inria.fr Language: English - Date: 2011-09-22 13:58:40 Ordinary differential equations Normal distribution Distribution Exponential growth Eigenvalues and eigenvectors Integration by parts Prion
26	Sampling for Approximate Inference in Continuous Time Bayesian Networks Yu Fan Christian R. Shelton Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:42 Monte Carlo methods Stochastic simulation Estimation theory Robot control Markov models Importance sampling Particle filter Probability distribution Bayesian network Exponential distribution Rejection sampling Expectationmaximization algorithm
27	Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction Shay B. Cohen and Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:48 Probability distributions Variational Bayesian methods Dirichlet distribution Expectationmaximization algorithm Gamma distribution Latent Dirichlet allocation Multinomial distribution Normal distribution Bayesian network Dirichlet process Mixture model Exponential family
28	The Annals of Probability 2005, Vol. 33, No. 5, 1856–1885 DOI009117905000000215 © Institute of Mathematical Statistics, 2005 AN ALMOST SURE INVARIANCE PRINCIPLE FOR THE RANGE Add to Reading List Source URL: www.math.csi.cuny.edu Language: English - Date: 2009-05-03 17:58:54 Probability distributions Exponentials Fourier analysis Digital signal processing Dirac delta function Measure theory Exponential distribution -ring SturmLiouville theory
29	Predicting profitability using advice branch bank networks Add to Reading List Source URL: www.andrew.cmu.edu Language: English - Date: 2015-03-09 11:59:12 Graph theory Network theory Centrality Degree distribution Directed graph Vertex Hay Job evaluation Exponential random graph models Degree
30	Journal of Machine Learning Research2140 Submitted 3/09; Revised 6/10; Published 8/10 Importance Sampling for Continuous Time Bayesian Networks Yu Fan Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:14 Markov models Probability distributions Graphical models Monte Carlo methods Stochastic simulation Bayesian network Markov chain Importance sampling Gibbs sampling Exponential distribution Cumulative distribution function Variance