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Dirichlet distribution
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#	Item
11	Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Dahua Lin Toyota Technological Institute at Chicago Add to Reading List Source URL: dahua.me Language: English - Date: 2013-10-22 19:40:40 Statistics Statistical theory Probability Bayesian statistics Stochastic processes Probability distributions Estimation theory Statistical natural language processing Dirichlet process Mixture model Variational Bayesian methods Dirichlet distribution
12	77 Documenta Math. Admissible p-adic Measures Attached to Triple Products of Elliptic Cusp Forms Add to Reading List Source URL: documenta.sagemath.org Language: English - Date: 2006-11-22 13:38:05 Mathematics Abstract algebra Algebra Number theory Field theory Analytic number theory Modular form Dirichlet character P-adic L-function Algebraic number field Distribution P-adic number
13	Coupling Nonparametric Mixtures via Latent Dirichlet Processes John Fisher MIT CSAIL Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:57 Statistics Probability Statistical natural language processing Machine learning Stochastic processes Probability distributions Dirichlet process Latent Dirichlet allocation Probabilistic latent semantic analysis Mixture model Gibbs sampling Dirichlet distribution
14	Estimating a Dirichlet distribution Thomas P. Minkarevised 2003, 2009, 2012) Abstract The Dirichlet distribution and its compound variant, the Dirichlet-multinomial, are two of the most basic models for proportion Add to Reading List Source URL: www.msr-waypoint.com Language: English - Date: 2012-03-29 12:29:15 Statistics Mathematical analysis Probability distributions Probability Dirichlet distribution Dirichlet-multinomial distribution Exponential family Gamma distribution Differential forms on a Riemann surface
15	BIRDNEST: Bayesian Inference for Ratings-Fraud Detection Bryan Hooi∗ Neil Shah∗ Mohit Kumar§ Add to Reading List Source URL: alexbeutel.com Language: English - Date: 2016-05-18 18:10:27 Statistics Probability Mathematical analysis Probability distributions Dirichlet-multinomial distribution Dirichlet distribution Mixture model Bayesian network Recommender system Multinomial distribution Bayesian inference Markov chain
16	IMPROVING AUTO-TAGGING BY MODELING SEMANTIC CO-OCCURRENCES Riccardo Miotto University of Padova Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:02:40 Computational linguistics Collective intelligence Knowledge representation Artificial intelligence applications Automatic image annotation Semantic similarity Mixture model Music information retrieval Tag Folksonomy Natural language processing Dirichlet distribution
17	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
18	A Tensor Spectral Approach to Learning Mixed Membership Community Models arXiv:1302.2684v4 [cs.LG] 24 OctAnima Anandkumar1 , Rong Ge2 , Daniel Hsu3 , and Sham M. Kakade3 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-27 21:56:48 Networks Graph theory Probability distributions Machine learning Statistical models Community structure Dirichlet distribution Higher-order singular value decomposition Stochastic block model Gibbs sampling Markov chain Tensor
19	Non-Bayesian Optimal Search and Dynamic Implementation Alex Gershkov and Benny Moldovanu January 22, 2009 Abstract Add to Reading List Source URL: www.econ2.uni-bonn.de Language: English - Date: 2014-03-26 06:49:17 Probability distributions Statistical theory Bayesian statistics Bayesian inference Statistical forecasting Statistical inference Principle of maximum entropy Dirichlet distribution Mechanism design XK Multinomial distribution Normal distribution
20	A concave regularization technique for sparse mixture models Martin Larsson School of Operations Research and Information Engineering Cornell University Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 03:30:42 Statistical natural language processing Probability distributions Latent Dirichlet allocation Probabilistic latent semantic analysis Expectationmaximization algorithm Dirichlet distribution Distribution Object categorization from image search

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