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Statistical natural language processing
Results: 1681

#	Item
531	Visualizing Topic Models Allison J.B. Chaney and David M. Blei Department of Computer Science Princeton University, Princeton, NJ USA [removed], [removed] Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Topic model Latent Dirichlet allocation Ethology Scientific modelling Visualization Dynamic topic model Statistical natural language processing Science Statistics
532	Sparse stochastic inference for latent Dirichlet allocation David Mimno [removed] Princeton U., Dept. of Computer Science, 35 Olden St., Princeton, NJ 08540, USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Gibbs sampling Dirichlet distribution Topic model Markov chain Monte Carlo Markov chain Statistics Statistical natural language processing Markov models
533	A Comparison on Score Spaces for Expression Microarray Data Classification Alessandro Perina1 , Pietro Lovato2 , Marco Cristani2,3 , and Manuele Bicego2 1 2 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Categorical data Probabilistic latent semantic analysis Statistical classification Fisher kernel Generative model Latent Dirichlet allocation Expectation–maximization algorithm Statistics Statistical natural language processing Machine learning
534	A Statistical Approach towards Unknown Word Type Prediction for Deep Grammars Yi Zhang and Valia Kordoni Department of Computational Linguistics Saarland University Saarbr¨ Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2006-02-22 22:07:55 Grammar Lexical semantics Generative linguistics Head-driven phrase structure grammar Parsing Word-sense disambiguation Treebank SYNTAX Lexical item Linguistics Computational linguistics Natural language processing
535	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
536	Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma Aydın Ula¸s1, , Peter J. Sch¨ uﬄer2 , Manuele Bicego1, 1 Umberto Castellani , and Vittorio Murino1,3 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Probabilistic latent semantic analysis Machine learning Latent Dirichlet allocation Generative model Generative Histogram Document-term matrix Focus Atomic nucleus Statistics Statistical natural language processing Categorical data
537	2010 International Conference on Pattern Recognition Biclustering of expression microarray data with topic models Manuele Bicego∗† , Pietro Lovato∗ , Alberto Ferrarini∗ Massimo Delledonne∗ ∗ University of Ve Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Microarrays Molecular biology Bioinformatics Gene expression Statistical natural language processing Probabilistic latent semantic analysis Gene expression profiling DNA microarray Expectation–maximization algorithm Statistics Biology Science
538	Continuous Time Dynamic Topic Models Chong Wang Computer Science Dept. Princeton University Princeton, NJ 08540 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Statistical models Dynamic topic model Markov models Control theory Variational Bayesian methods Latent Dirichlet allocation Mixture model Topic model Probabilistic latent semantic analysis Statistics Statistical natural language processing Bayesian statistics
539	Supervised topic models Jon D. McAuliffe Department of Statistics University of Pennsylvania, Wharton School Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Expectation–maximization algorithm Latent Dirichlet allocation Normal distribution Exponential family Errors-in-variables models Statistics Statistical natural language processing Symbol
540	Simultaneous Image Classification and Annotation Chong Wang, David Blei, Li Fei-Fei Computer Science Department Princeton University {chongw, blei, feifeili}@cs.princeton.edu Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Estimation theory Automatic image annotation Expectation–maximization algorithm Latent Dirichlet allocation Topic model Maximum likelihood LabelMe Annotation Dimensional analysis Statistics Artificial intelligence Statistical natural language processing

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