<--- Back to Details
First PageDocument Content
Chinese restaurant process / Parametric model / Mixture model / Pitman–Yor process / Hidden Markov model / Non-parametric statistics / Statistics / Stochastic processes / Dirichlet process
Date: 2010-06-29 13:51:31
Chinese restaurant process
Parametric model
Mixture model
Pitman–Yor process
Hidden Markov model
Non-parametric statistics
Statistics
Stochastic processes
Dirichlet process

Hierarchical Bayesian Nonparametric Models with Applications Yee Whye Teh

Add to Reading List

Source URL: www.gatsby.ucl.ac.uk

Download Document from Source Website

File Size: 1,23 MB

Share Document on Facebook

Similar Documents

A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction Phil Blunsom Department of Computer Science University of Oxford

DocID: 1nTd1 - View Document

Pitman–Yor process / Chinese restaurant process / Dirichlet distribution / Concentration parameter / Mixture model / Bayesian inference / Prior probability / Statistics / Stochastic processes / Dirichlet process

An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst

DocID: 1grvD - View Document

Perplexity / Dirichlet process / Language model / Statistics / Stochastic processes / Pitman–Yor process

POWER LAW DISCOUNTING FOR N-GRAM LANGUAGE MODELS Songfang Huang, Steve Renals The Centre for Speech Technology Research University of Edinburgh, Edinburgh EH8 9AB, United Kingdom {s.f.huang, s.renals}@ed.ac.uk ABSTRACT

DocID: 177Mb - View Document

Bayesian statistics / Stochastic processes / Markov processes / Graphical models / Dirichlet process / Pitman–Yor process / Markov property / Language model / Gibbs sampling / Statistics / Probability and statistics / Markov models

The Sequence Memoizer ∗ Frank Wood Department of Statistics

DocID: 148zL - View Document

Stochastic processes / Bayesian statistics / Statistical models / Probability theory / Dirichlet process / Formal grammar / Pitman–Yor process / Gibbs sampling / Inside-outside algorithm / Statistics / Probability and statistics / Formal languages

Variational Inference for Adaptor Grammars Noah A. Smith David M. Blei Shay B. Cohen School of Computer Science Computer Science Department School of Computer Science Carnegie Mellon University

DocID: 10x2U - View Document