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Expectation
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#	Item
661	Toward an Approach to Privacy in Public: Challenges of Information Technology. Add to Reading List Source URL: www.nyu.edu Language: English - Date: 2008-02-11 14:23:31 Expectation of privacy Lotus Marketplace Personally identifiable information Information privacy The right to privacy in New Zealand Privacy Ethics Internet privacy
662	Pattern Recognition Letters[removed]–1407 www.elsevier.com/locate/patrec A sequential pruning strategy for the selection of the number of states in hidden Markov models Manuele Bicego Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:46:39 Computational statistics Machine learning Bioinformatics Hidden Markov model Estimation theory Cluster analysis Speech recognition Expectation–maximization algorithm Pattern recognition Statistics Markov models Probability and statistics
663	Variational Inference for the Nested Chinese Restaurant Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Variational Bayesian methods Statistical models Expectation–maximization algorithm Dirichlet process Gibbs sampling Mixture model Bayesian inference Exponential family Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
664	Z:/papers/dpmm_paper/uai10-dpmm.dvi Add to Reading List Source URL: event.cwi.nl Language: English - Date: 2010-06-18 10:53:31 Estimation theory Conjugate prior Expectation–maximization algorithm Parametric model Mixture model Markov chain Sufficient statistic Sample size determination Statistics Statistical theory Statistical models
665	Documents as multiple overlapping windows into a grid of counts Alessandro Perina1 Nebojsa Jojic1 1 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:59 Latent Dirichlet allocation Topic model Probabilistic latent semantic analysis Expectation–maximization algorithm Logarithm Latent semantic analysis Statistics Statistical natural language processing Machine learning
666	Bounded-Regret Sequential Learning using Prediction Markets⇤ (Extended Abstract) Sindhu Kutty Department of Computer Science and Engineering University of Michigan, Ann Arbor [removed] Add to Reading List Source URL: web.eecs.umich.edu Language: English - Date: 2015-01-12 20:30:02 Bayesian statistics Exponential family Exponentials Normal distribution Parameter Conjugate prior Logarithm Expectation–maximization algorithm Statistics Mathematics Mathematical analysis
667	CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Dirichlet process Hidden Markov model Mixture model Expectation–maximization algorithm Information retrieval Dirichlet distribution Normal distribution Semantic similarity Kullback–Leibler divergence Statistics Machine learning Natural language processing
668	An Adaptive Learning Rate for Stochastic Variational Inference Rajesh Ranganath Princeton University, 35 Olden St., Princeton, NJ[removed]RAJESHR @ CS . PRINCETON . EDU Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Stochastic optimization Probability theory Stochastic approximation Mathematical optimization Bayesian inference Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Statistics Bayesian statistics Estimation theory
669	Proceedings ofthe 2004 IEEE Int.rnatlmal Conference on Robotics &Automation New Orleans. LA * Aprll 2004 I Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:47:11 Hidden Markov model Support vector machine Markov chain Speech recognition Baum–Welch algorithm Segmentation Sequential minimal optimization Expectation–maximization algorithm Viterbi algorithm Statistics Machine learning Markov models
670	Relational Topic Models for Document Networks Jonathan Chang Department of Electrical Engineering Princeton University Princeton, NJ 08544 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Latent Dirichlet allocation Topic model Probabilistic latent semantic analysis Information retrieval Regression analysis Markov chain Expectation–maximization algorithm N-gram Statistics Statistical natural language processing Natural language processing

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