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Expectation–maximization algorithm
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291	Stochastic Variational Inference for Hidden Markov Models arXiv:1411.1670v1 [stat.ML] 6 Nov[removed]Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-06 20:36:09 Markov models Expectation–maximization algorithm Missing data Statistical theory Hidden Markov model Variational Bayesian methods Markov chain Conjugate prior Kullback–Leibler divergence Statistics Bayesian statistics Estimation theory
292	2010 International Conference on Pattern Recognition Biclustering of expression microarray data with topic models Manuele Bicego∗† , Pietro Lovato∗ , Alberto Ferrarini∗ Massimo Delledonne∗ ∗ University of Ve Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Microarrays Molecular biology Bioinformatics Gene expression Statistical natural language processing Probabilistic latent semantic analysis Gene expression profiling DNA microarray Expectation–maximization algorithm Statistics Biology Science
293	6.867 Machine learning, lecture 15 (Jaakkola) 1 Lecture topics: • Diﬀerent types of mixture models (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical models Cluster analysis Expectation–maximization algorithm Missing data Mixture model Likelihood function Statistics Estimation theory Bayesian statistics
294	Bayesian Nonparametric Poisson Factorization for Recommendation Systems Prem Gopalan Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Variational Bayesian methods Mixture model Poisson distribution Collaborative filtering Dirichlet process Bayesian inference Recommender system Gamma distribution Markov chain Statistics Bayesian statistics Expectation–maximization algorithm
295	Implementation and Performance Evaluation of Depth-Dependent Correction Add to Reading List Source URL: rcwww.kek.jp Language: English - Date: 2012-07-09 09:53:00 Radiobiology Neuroimaging Single-photon emission computed tomography Estimation theory Iterative reconstruction Expectation–maximization algorithm X-ray computed tomography Tomography Attenuation Medicine Medical physics Medical imaging
296	Supervised topic models Jon D. McAuliffe Department of Statistics University of Pennsylvania, Wharton School Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Expectation–maximization algorithm Latent Dirichlet allocation Normal distribution Exponential family Errors-in-variables models Statistics Statistical natural language processing Symbol
297	Simultaneous Image Classification and Annotation Chong Wang, David Blei, Li Fei-Fei Computer Science Department Princeton University {chongw, blei, feifeili}@cs.princeton.edu Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Estimation theory Automatic image annotation Expectation–maximization algorithm Latent Dirichlet allocation Topic model Maximum likelihood LabelMe Annotation Dimensional analysis Statistics Artificial intelligence Statistical natural language processing
298	16 Density Estimation We’ve learned more and more about how to describe and fit functions, but the decision to fit a function can itself be unduly restrictive. Instead of assuming a noise model for the data (such as G Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-14 17:27:29 Estimation theory Bayesian statistics Expectation–maximization algorithm Missing data Normal distribution Kernel density estimation Entropy Maximum likelihood Principle of maximum entropy Statistics Statistical theory Non-parametric statistics
299	Sparseness Achievement in Hidden Markov Models Manuele Bicego∗ DEIR - University of Sassari via Torre Tonda, [removed]Sassari - Italy Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:56:25 Estimation theory Machine learning Bioinformatics Hidden Markov model Markov chain Mixture model Baum–Welch algorithm Expectation–maximization algorithm Speech recognition Statistics Markov models Probability and statistics
300	Generalized Gaussian Distributions for Sequential Data Classification Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:00:09 Hidden Markov model Estimation theory Speech recognition Expectation–maximization algorithm Normal distribution Layered hidden Markov model Statistics Markov models Bioinformatics

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