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Mixture model
Results: 969

#	Item
761	ROBUST VOLUME CALCULATIONS OF TUMORS OF VARIOUS SIZES1 Adele P. Peskin,(a)(d) Karen Kafadar, (b) A.M. Santos,(c) and Gillian G. Haemer(a) (a) Scientific Application and Visualization Group Add to Reading List Source URL: math.nist.gov Language: English - Date: 2010-09-08 14:18:51 Imaging Segmentation Pixel Thresholding X-ray computed tomography Mixture model Image processing Computer graphics Statistics
762	David M. Blei Princeton University Department of Computer Science 35 Olden Street Princeton, NJ 08540 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2014-04-06 15:27:19 Dynamic topic model Latent Dirichlet allocation Pachinko allocation Machine learning Dirichlet process Neural network Bayesian inference Mixture model Variational Bayesian methods Statistics Statistical natural language processing Topic model
763	Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process : with Applications to Evolutionary Clustering Amr Ahmed Eric Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-02-01 08:51:44 Markov models Multivariate statistics Data mining K-means clustering Data stream clustering Mixture model Dirichlet process Hidden Markov model Spectral clustering Statistics Machine learning Cluster analysis
764	Discovering Geographical Topics In The Twitter Stream ∗ Liangjie Hong †, Amr Ahmed §, Siva Gurumurthy ¶, Alex Smola §, Kostas Tsioutsiouliklis ¶ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-02-27 20:26:16 Statistical natural language processing Estimation theory Statistical models Cluster analysis Machine learning Mixture model Twitter Topic model Maximum likelihood Statistics Probability and statistics Probability
765	Scalable Inference in Latent Variable Models ∗ Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan Narayanamurthy, Alexander Smola Yahoo! Research, Santa Clara, CA, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-03-26 21:38:12 Latent variable Gibbs sampling Latent Dirichlet allocation Bayesian network Mixture model Variable Parallel computing Latent class model Variational Bayesian methods Statistics Statistical models Latent variable model
766	Unified Analysis of Streaming News Amr Ahmed, Qirong Ho Jacob Eisenstein, Eric P. Xing Carnegie Mellon University Pittsburgh, PA 15213, USA {amahmed,qho+,jacobeis,epxing}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-04-01 23:46:01 Dynamic topic model Natural language processing Information retrieval Latent Dirichlet allocation Estimation theory Topic model Mixture model Dirichlet process Cluster analysis Statistics Statistical natural language processing Machine learning
767	Sparse Additive Generative Models of Text Jacob Eisenstein [removed] Amr Ahmed [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-05-13 03:15:37 Statistical models Machine learning Latent Dirichlet allocation Topic model Dirichlet distribution Mixture model Dirichlet process Generative model Dynamic topic model Statistics Statistical natural language processing Probability and statistics
768	On Tight Approximate Inference of the Logistic-Normal Topic Admixture Model Amr Ahmed School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-04-20 09:22:03 Statistical natural language processing Deduction Latent Dirichlet allocation Expectation–maximization algorithm Variational message passing Normal distribution Mixture model Entailment Symbol Statistics Mathematics Logic
769	Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text Amr Ahmed CMU Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-05-12 14:50:36 Computational statistics Monte Carlo methods Natural language processing Mixture model Latent Dirichlet allocation Dirichlet process Particle filter Topic model Cluster analysis Statistics Statistical natural language processing Machine learning
770	Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models Ramesh Nallapati, Amr Ahmed, William Cohen and Eric Xing Machine Learning Department Carnegie Mellon University 5000 Forbes Avenue Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-09-24 16:28:26 Natural language processing Dynamic topic model Latent Dirichlet allocation Topic model Pachinko allocation Latent semantic analysis Mixture model Dirichlet process Information retrieval Statistics Statistical natural language processing Machine learning

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