<--- Back to Details
First PageDocument Content
Statistics / Estimation theory / Computational statistics / Cluster analysis / Gibbs sampling / Markov chain Monte Carlo / Expectationmaximization algorithm / Consensus clustering / Likelihood function / Sampling
Date: 2014-05-16 20:46:24
Statistics
Estimation theory
Computational statistics
Cluster analysis
Gibbs sampling
Markov chain Monte Carlo
Expectationmaximization algorithm
Consensus clustering
Likelihood function
Sampling

Robust Entity Clustering via Phylogenetic Inference Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N. Cha

Add to Reading List

Source URL: www.cs.jhu.edu

Download Document from Source Website

File Size: 312,97 KB

Share Document on Facebook

Similar Documents

Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes Nima Anari ∗

Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes Nima Anari ∗

DocID: 1vbSk - View Document

Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling Daniel Huang Jean-Baptiste Tristan

Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling Daniel Huang Jean-Baptiste Tristan

DocID: 1uvqp - View Document

Appendix 3 Markov Chain Monte Carlo and Gibbs Sampling A constant them in the development of statistics has been the search for justifications for what statisticians do — BlascoDraft version 12 September 2008

Appendix 3 Markov Chain Monte Carlo and Gibbs Sampling A constant them in the development of statistics has been the search for justifications for what statisticians do — BlascoDraft version 12 September 2008

DocID: 1urnq - View Document

Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling Daniel Huang Jean-Baptiste Tristan

Compiling Markov Chain Monte Carlo Algorithms for Probabilistic Modeling Daniel Huang Jean-Baptiste Tristan

DocID: 1uaEC - View Document

Appendix 3 Markov Chain Monte Carlo and Gibbs Sampling Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise – Tukey

Appendix 3 Markov Chain Monte Carlo and Gibbs Sampling Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise – Tukey

DocID: 1u5jA - View Document