Mixed Membership Models for Time Series

Source URL: www.stat.washington.edu

• Statistical models
• Markov models
• Dirichlet process
• Latent Dirichlet allocation
• Mixture model
• Dirichlet distribution
• Hidden Markov model
• Probability distribution
• Concentration parameter
• Statistics
• Stochastic processes
• Statistical natural language processing

BNP_MSP_final_IEEEformat.dvi

Source URL: www.stat.washington.edu

• Bioinformatics
• Hidden Markov model
• Markov processes
• Markov chain
• Dirichlet distribution
• Dirichlet process
• Chinese restaurant process
• Concentration parameter
• Statistics
• Stochastic processes
• Markov models

PARAMETER ESTIMATES TO PRODUCE GEOLOGICAL TIME SCALE EE PERSISTENCE • System size V = (1 meter) 3 ; ambient T and p • Initial reactant concentration at beginning of monomer purification stage: [A] = [B2 ] = 10 −5 M

Source URL: www.princeton.edu

Information Retrieval Using Hierarchical Dirichlet Processes Phil Cowans Inference Group Department Of Physics University Of Cambridge

Source URL: www.inference.phy.cam.ac.uk

• Information retrieval
• Markov models
• Artificial intelligence applications
• Dirichlet process
• Dirichlet distribution
• Tf*idf
• Language model
• Concentration parameter
• Probability distribution
• Statistics
• Statistical natural language processing
• Stochastic processes

Learning Latent Personas of Film Characters David Bamman Brendan O’Connor Noah A. Smith School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA {dbamman,brenocon,nasmith}@cs.cmu.edu

Source URL: www.aclweb.org

• Role-playing video games
• Human–computer interaction
• Persona
• Technical communication
• Usability
• Topic model
• Latent Dirichlet allocation
• Expectation–maximization algorithm
• Concentration parameter
• Statistics
• Statistical natural language processing
• Machine learning

Notes on Multinomial sparsity and the Dirichlet concentration parameter α David Bamman January 1, 2013 The Dirichlet distribution is parameterized by a vector of concentration parameters α. If α is symmetric (so that

Source URL: www.cs.cmu.edu

• Dirichlet distribution
• Constructible universe

Reducing the Sampling Complexity of Topic Models Aaron Q. Li Amr Ahmed CMU Language Technologies

Source URL: www.sravi.org

• Markov chain Monte Carlo
• Latent Dirichlet allocation
• Monte Carlo methods
• Dirichlet process
• Perplexity
• Mixture model
• Topic model
• Concentration parameter
• Dirichlet distribution
• Statistics
• Probability and statistics
• Statistical natural language processing

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling Sinead Williamson Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, UK

Source URL: www.cs.princeton.edu

• Dirichlet process
• Latent Dirichlet allocation
• Dirichlet distribution
• Mixture model
• Hidden Markov model
• Concentration parameter
• Normal distribution
• Topic model
• Golden ratio
• Statistics
• Probability and statistics
• Statistical natural language processing

Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process Chong Wang Computer Science Department Princeton University

Source URL: www.cs.princeton.edu

• Statistical inference
• Latent Dirichlet allocation
• Dirichlet process
• Dirichlet distribution
• Concentration parameter
• Mixture model
• Topic model
• Multinomial distribution
• Bayesian inference
• Statistics
• Statistical natural language processing
• Bayesian statistics

SUGAR INDUSTRY Parameter Standards Concentration not exceed milligramme per litre

Source URL: www.appcb.ap.nic.in