Latent learning - PDFSEARCH.IO - Document Search Engine

Latent learning
Results: 355

#	Item
31	Learning Semantic Representations with Hidden Markov Topics Models Mark Andrews () Gabriella Vigliocco () Cognitive, Perceptual and Brain Sciences University College London, Add to Reading List Source URL: www.mjandrews.net Language: English - Date: 2014-12-16 12:40:25 Statistics Probability Machine learning Statistical natural language processing Statistical models Markov models Probability distributions Latent Dirichlet allocation Dirichlet distribution Topic model Mixture model Gibbs sampling
32	FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.3.1 Tools for mining non-stationary data - v2 Clustering Add to Reading List Source URL: www.trendminer-project.eu Language: English - Date: 2014-05-02 17:17:44 Statistical natural language processing Machine learning Statistics Artificial intelligence Topic model Latent Dirichlet allocation Gibbs sampling Multinomial logistic regression Dynamic topic model Dirichlet-multinomial distribution
33	Introduction to Information Retrieval ` `%%%`#_`__~~~false [0.5cm] IIR 11: Probabilistic Information Retrieval Add to Reading List Source URL: essir.uni-koblenz.de Language: English - Date: 2016-02-24 18:38:54 Information science Natural language processing Okapi BM25 Information retrieval Learning to rank BM25 Binary Independence Model Latent semantic analysis Probabilistic relevance model Ranking
34	Journal of Machine Learning Research) ?? Submitted ??; Published ?? Posterior Regularization for Structured Latent Variable Models Kuzman Ganchev Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2011-02-28 22:52:31 Statistics Estimation theory Statistical theory Expectationmaximization algorithm Maximum likelihood estimation KullbackLeibler divergence Sufficient statistic Likelihood function Gamma distribution Generalized coordinates
35	SVD Feature Selection for Probabilistic Taxonomy Learning Fallucchi Francesca Disp, University “Tor Vergata” Rome, Italy Add to Reading List Source URL: art.uniroma2.it Language: English - Date: 2013-05-28 06:48:51 Algebra Statistics Mathematics Regression analysis Actuarial science Estimation theory Statistical models Latent semantic analysis Natural language processing Singular value decomposition Logit Logistic regression
36	JMLR: Workshop and Conference Proceedings vol 40:1–77, 2015 Learning Overcomplete Latent Variable Models through Tensor Methods Animashree Anandkumar Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Algebra Mathematics Machine learning Linear algebra Statistical models Signal processing Multivariate statistics Higher-order singular value decomposition Independent component analysis Tensor Feature learning Unsupervised learning
37	Coupling Nonparametric Mixtures via Latent Dirichlet Processes John Fisher MIT CSAIL Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:57 Statistics Probability Statistical natural language processing Machine learning Stochastic processes Probability distributions Dirichlet process Latent Dirichlet allocation Probabilistic latent semantic analysis Mixture model Gibbs sampling Dirichlet distribution
38	Learning Latent Groups with Hinge-loss Markov Random Fields Stephen H. Bach Bert Huang Lise Getoor University of Maryland, College Park, Maryland 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-14 15:37:03 Statistics Probability theory Graphical models Machine learning Statistical models Statistical theory Bayesian statistics Markov random field Latent variable Expectationmaximization algorithm Marginal likelihood Conditional random field
39	Author manuscript, published in "International Conference on Information Processing in Medical Imaging (2013)" Learning from M/EEG data with variable brain activation delays Wojciech Zaremba1,2 , M. Pawan Kumar1,2,3 , A Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2013-09-17 23:46:03 Statistics Statistical models Neuroscience Bayesian networks Statistical classification Support vector machine Electroencephalography Latent variable Data analysis
40	Introduction to Information Retrieval ` `%%%`#_`__~~~false [0.5cm] IIR 18: Latent Semantic Indexing Add to Reading List Source URL: essir.uni-koblenz.de Language: English - Date: 2016-02-24 18:38:53 Algebra Mathematics Natural language processing Latent semantic analysis Machine learning Singular value decomposition Dimensionality reduction Vector space model Document-term matrix

UPDATE