Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors Antonio L IJOI, Ramsés H. M ENA, and Igor P RÜNSTER In recent years the Dirichlet process prior has experienced a great success in the context of Ba

Source URL: economia.unipv.it

Spectral Methods for the Hierarchical Dirichlet Process Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola Machine Learning Department Carnegie Mellon University 5000 Forbes Ave, Pittsburgh, PA 15213

Source URL: manzil.ml

• Multilinear algebra
• Tensors
• Differential geometry
• Binary operations
• Metric tensor
• Higher-order singular value decomposition

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

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

Bayesian Clustering of Transcription Factor Binding Motifs Shane T. J ENSEN and Jun S. L IU Genes are often regulated in living cells by proteins called transcription factors that bind directly to short segments of DNA i

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

• Statistics
• Machine learning
• Cluster analysis
• Computational statistics
• Bioinformatics
• Hierarchical clustering
• Network analysis
• Dirichlet process
• K-means clustering
• DNA binding site
• Expectationmaximization algorithm
• Consensus clustering

Proceedings, The Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-15) Bayesian Clustering of Player Styles for Multiplayer Games Aline Normoyle Shane T. Jensen

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

• Statistics
• Computing
• Mathematics
• Cluster analysis
• K-means clustering
• Hierarchical clustering
• Non-negative matrix factorization
• Fuzzy clustering
• Machine learning
• Computer cluster
• Dirichlet process
• Consensus clustering

Dirichlet labeling and hierarchical processes for clustering functional data XuanLong Nguyen Department of Statistics University of Michigan

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

• Cluster analysis
• Geostatistics
• Stochastic processes
• Data mining
• Image segmentation
• Dirichlet process
• Mixture model
• Correlation clustering

Hierarchical Dirichlet Scaling Process Dongwoo Kim KAIST, Daejeon, Korea DW. KIM @ KAIST. AC . KR

Source URL: jmlr.org

• Statistics
• Probability
• Statistical theory
• Statistical natural language processing
• Probability distributions
• Stochastic processes
• Latent Dirichlet allocation
• Hierarchical Dirichlet process
• Topic model
• Dirichlet process
• Dirichlet distribution
• Mixture model

Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London, WC1N 3AR, UK

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

• Cluster analysis
• Bioinformatics
• Data mining
• Hierarchical clustering
• Single-linkage clustering
• Conjugate prior
• Mixture model
• Dirichlet process
• Variational Bayesian methods
• Statistics
• Machine learning
• Bayesian statistics

The Time-Marginalized Coalescent Prior for Hierarchical Clustering Max Welling Department of Computer Science University of California, Irvine

Source URL: www.ics.uci.edu

• Cluster analysis
• Markov models
• Bayesian statistics
• Coalescent theory
• Mixture model
• Dirichlet process
• Markov chain
• Prior probability
• Statistics
• Probability and statistics
• Probability