Slice sampling normalized kernel-weighted completely random measure mixture models Sinead A. Williamson Department of Machine Learning Carnegie Mellon University

Source URL: sinead.github.io

Kernel Belief Propagation 1 Le Song,1 Arthur Gretton,1,2 Danny Bickson,1 Yucheng Low,1 Carlos Guestrin1 School of Computer Science, CMU; 2 Gatsby Computational Neuroscience Unit & MPI for Biological Cybernetics

Source URL: select.cs.cmu.edu

• Statistics
• Probability
• Mathematical analysis
• Machine learning
• Hilbert space
• Graphical models
• Probability theory
• Belief propagation
• Coding theory
• Positive-definite kernel
• Mixture model
• Normal distribution

Slice sampling normalized kernel-weighted completely random measure mixture models Sinead A. Williamson Department of Machine Learning Carnegie Mellon University

Source URL: nfoti.github.io

Learning Conditional Latent Structures from Multiple Data Sources Viet Huynh1(B) , Dinh Phung1 , Long Nguyen2 , Svetha Venkatesh1 , and Hung H. Bui3 1

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Probability
• Statistical natural language processing
• Probability distributions
• Stochastic processes
• Machine learning
• Statistical models
• Latent Dirichlet allocation
• Dirichlet process
• Dirichlet distribution
• Mixture model
• Gibbs sampling

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

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Stochastic processes
• Statistical theory
• Probability
• Hierarchical Dirichlet process
• Dirichlet process
• PitmanYor process
• Chinese restaurant process
• Dirichlet distribution
• Mixture model
• Concentration parameter
• Pattern recognition

GENERAL INDEX “WAD” Indefinite mixture of soft, massive manganese oxides Italy Liguria

Source URL: www.minrec.org

A New Method for Calculating Music Similarity Eric Battenberg and Vijay Ullal December 12, 2006 Abstract We introduce a new technique for calculating the perceived similarity of two songs based on their spectral content.

Source URL: www.ericbattenberg.com

• Statistics
• Machine learning
• Markov models
• Applied mathematics
• Cluster analysis
• Bioinformatics
• Statistical distance
• Hidden Markov model
• Mixture model
• K-means clustering
• Expectationmaximization algorithm
• Similarity measure

Time-Sensitive Dirichlet Process Mixture Models Xiaojin Zhu Zoubin Ghahramani May 2005

Source URL: mlg.eng.cam.ac.uk

J. R. Statist. Soc. B, Part 4, pp. 715–740 Controlling the reinforcement in Bayesian non-parametric mixture models Antonio Lijoi,

Source URL: economia.unipv.it

Accounting for Data dependencies within a Hierarchical Dirichlet Process Mixture Model CIKM 2011 Dongwoo Kim & Alice Oh KAIST U&I Lab.

Source URL: uilab.kaist.ac.kr