Keyword

nonparametric Bayesian models

Description: Bayesian models that place probability distributions over flexible or infinite-dimensional structures rather than restricting inference to fixed-dimensional parameter spaces.

Primary topic: Bayesian Methods and Mixture Models (30%)

OpenAlex ID: keywords/nonparametric-bayesian-models

Learning systems of concepts with an infinite relational model

2006 · Charles Kemp, Joshua B. Tenenbaum, et al. · 550

The Infinite Hidden Markov Model

2002 · Matthew J. Beal, Zoubin Ghahramani, et al. · The MIT Press eBooks · 492

Hierarchical Beta Processes and the Indian Buffet Process

2007 · Romain Thibaux, Michael I. Jordan · UC Berkeley · 352

Ship trajectory uncertainty prediction based on a Gaussian Process model

2019 · H. Rong, A.P. Teixeira, et al. · Ocean Engineering · 314

Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models

2007 · Mark Johnson, Thomas L. Griffiths, et al. · The MIT Press eBooks · 271

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An HDP-HMM for systems with state persistence

2008 · Emily B. Fox, Erik B. Sudderth, et al. · International Conference on Machine Learning · 260

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Modelling SF-6D health state preference data using a nonparametric Bayesian method

2006 · Samer A. Kharroubi, John E. Brazier, et al. · Journal of Health Economics · 215

A Nonparametric Bayesian Approach to Acoustic Model Discovery

2012 · Chia-ying Lee, James Glass · 210

Sequential importance sampling for nonparametric Bayes models: The next generation

1999 · Steven N. Maceachern, Merlise Clyde, et al. · Canadian Journal of Statistics · 196

Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures

2014 · Peter Orbanz, Daniel M. Roy · IEEE Transactions on Pattern Analysis and Machine Intelligence · 185

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Modeling Dyadic Data with Binary Latent Factors

2007 · Edward Meeds, Zoubin Ghahramani, et al. · The MIT Press eBooks · 174

A Method for Combining Inference Across Related Nonparametric Bayesian Models

2004 · Peter Müller, Fernando Quintana, et al. · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 172

Trajectory analysis and semantic region modeling using a nonparametric Bayesian model

2008 · Xiaogang Wang, Keng Teck Ma, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 171

Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models

2011 · Xiaogang Wang, Keng Teck Ma, et al. · International Journal of Computer Vision · 162

The Infinite PCFG Using Hierarchical Dirichlet Processes

2007 · Percy Liang, Slav Petrov, et al. · 160

Mining idioms from source code

2014 · Miltiadis Allamanis, Charles Sutton · ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE) · 158

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Unsupervised Multilingual Learning for Morphological Segmentation

2008 · Benjamin Snyder, Regina Barzilay · 148

Unsupervised Event Coreference Resolution with Rich Linguistic Features

2010 · Cosmin A. Bejan, Sanda M. Harabagiu · 146

Modeling individual differences using Dirichlet processes