Concentration parameter - PDFSEARCH.IO - Document Search Engine

Concentration parameter
Results: 25

#	Item
1	An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2010-03-26 09:04:06 Statistics Stochastic processes Statistical theory Probability Hierarchical Dirichlet process Dirichlet process PitmanYor process Chinese restaurant process Dirichlet distribution Mixture model Concentration parameter Pattern recognition
2	Inference of functional clustering patterns from non-functional data Long Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-03-19 18:14:23 Statistics Statistical theory Probability Probability distributions Stochastic processes Dirichlet process Bayesian statistics Markov chain Monte Carlo Mixture distribution Statistical inference Concentration parameter Mixture model
3	Understanding the “Antoniak equation” The equation I call the “Antoniak equation” (due to Antoniak, 1974) computes the probability that N samples from a Dirichlet process with concentration parameter α will draw Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-01-30 01:04:48
4	An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2010-03-15 18:50:30 Pitman–Yor process Chinese restaurant process Dirichlet distribution Concentration parameter Mixture model Bayesian inference Prior probability Statistics Stochastic processes Dirichlet process
5	Active Learning with Constrained Topic Model Yi Yang Northwestern University Shimei Pan Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-06-21 18:12:21 Latent Dirichlet allocation Science Relevance Concentration parameter Dynamic topic model Statistical natural language processing Statistics Topic model
6	Curiosity Based Exploration for Learning Terrain Models Yogesh Girdhar, David Whitney, and Gregory Dudek Abstract— We present a robotic exploration technique in which the goal is to learn a visual model that can be use Add to Reading List Source URL: www.cim.mcgill.ca Language: English - Date: 2014-04-16 12:23:36 Probabilistic latent semantic analysis Perplexity Latent Dirichlet allocation Robot Concentration parameter Topic–comment Statistical natural language processing Statistics Topic model
7	Nonparametric Bayesian Methods for Large Scale Multi-Target Tracking Emily B. Fox David S. Choi Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:48 Markov models Dirichlet process Mixture model Dirichlet distribution Markov chain Concentration parameter Gibbs sampling Poisson distribution Bayesian inference Statistics Stochastic processes Bayesian statistics
8	The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling Sinead Williamson Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, UK Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 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
9	Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process Chong Wang Computer Science Department Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 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
10	230 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 37, Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2015-02-01 19:31:21 Stochastic processes Dirichlet process Concentration parameter Mixture model Topic model Probabilistic latent semantic analysis Pitman–Yor process N-gram Language model Statistics Probability and statistics Statistical natural language processing

UPDATE