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Latent learning
Results: 355

#	Item
21	Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions Meghdad Farahmand Majid Yazdani Computer Science Computer Science Add to Reading List Source URL: majid.yazdani.me Language: English - Date: 2015-08-19 06:58:41 Linguistics Computational linguistics Semantics Language Academia Artificial neural networks Machine learning Natural language processing Distributional semantics Light verb Word embedding Latent semantic analysis
22	When One Textbook is not Enough: Linking Multiple Textbooks Using Probabilistic Topic Models Julio Guerra12 , Sergey Sosnovsky3 , and Peter Brusilovsky1 1 Add to Reading List Source URL: columbus.exp.sis.pitt.edu Language: English - Date: 2016-01-15 09:51:26 Statistical natural language processing Education Natural language processing Latent Dirichlet allocation Topic model Learning Textbook Information retrieval Digital textbook Ranking Publishing Bag-of-words model in computer vision
23	Unsupervised, Efficient and Semantic Expertise Retrieval Christophe Van Gysel Maarten de Rijke Add to Reading List Source URL: staff.fnwi.uva.nl Language: English - Date: 2016-01-31 09:27:39 Information science Information retrieval Artificial intelligence Natural language processing Statistical natural language processing Machine learning Language modeling Computational linguistics Latent semantic analysis Probabilistic latent semantic analysis Vector space model Language model
24	Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond by Jaime B. Teevan Submitted to the Department of Electrical Engineering and Computer Add to Reading List Source URL: www.websci11.org Language: English - Date: 2016-03-15 09:55:59 Information science Statistical natural language processing Natural language processing Statistics Machine learning Information retrieval Bayesian network Probability distribution Tfidf Latent semantic analysis Probabilistic latent semantic analysis
25	Variational Bayesian Learning of Cooperative Vector Quantizer Model - The Theory Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2003-05-06 15:46:12 Statistics Statistical models Bayesian network Latent variable Variational Bayesian methods Independent component analysis Expectationmaximization algorithm Generative model Principal component analysis Bayesian inference Normal distribution Mixture model
26	ATT: Analyzing Temporal Dynamics of Topics and Authors in Social Media Nasir Naveed Sergej Sizov Add to Reading List Source URL: www.websci11.org Language: English - Date: 2016-03-15 09:54:20 Statistical natural language processing Machine learning Artificial intelligence Probability Natural language processing Language modeling Statistical models Latent Dirichlet allocation Topic model Dynamic topic model Probabilistic latent semantic analysis Plate notation
27	Journal of Machine Learning Research–2213 Submitted; PublishedNoisy-OR Component Analysis and its Application to Link Analysis Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2006-10-16 22:09:03 Statistics Estimation theory Statistical models Bayesian statistics Statistical natural language processing Statistical theory Expectationmaximization algorithm Variational Bayesian methods Mixture model Exponential family Latent Dirichlet allocation Likelihood function
28	Leveraging Social Context for Modeling Topic Evolution Janani Kalyanam Amin Mantrach Univ. of California, San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Statistical natural language processing Computing Machine learning Algebra Social media Web 2.0 Computer jargon Hashtag Knowledge representation Latent Dirichlet allocation Topic model Dynamic topic model
29	Named Entity Recognition in Query Jiafeng Guo† , Gu Xu‡ , Xueqi Cheng† , Hang Li‡ † ‡ Add to Reading List Source URL: www.cse.iitb.ac.in Language: English - Date: 2013-05-05 15:58:46 Statistical natural language processing Machine learning Statistics Artificial intelligence Latent Dirichlet allocation Topic model Dynamic topic model Language model Latent semantic analysis Symbol Expectationmaximization algorithm Likelihood function
30	CS 3750 Machine Learning Latent variable models Variational approximations. Milos Hauskrecht Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-10-25 10:58:54 Statistics Statistical theory Probability distributions Estimation theory Expectationmaximization algorithm Missing data Normal distribution Likelihood-ratio test Variational Bayesian methods KullbackLeibler divergence

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