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Random field
Results: 650

#	Item
241	Microsoft Word - SARMA2011_Program_v2.docx Add to Reading List Source URL: www.maths.lth.se Language: English - Date: 2011-04-26 04:21:51 SMHI Random field Geography of Europe Downscaling Weather prediction Lund
242	Hybrid In-Database Inference for Declarative Information Extraction Daisy Zhe Wang Michael J. Franklin Add to Reading List Source URL: www.cise.ufl.edu Language: English - Date: 2014-08-27 19:27:29 Probability and statistics Probability Theoretical computer science Probability theory Computational statistics Markov chain Monte Carlo Conditional random field Hidden Markov model Markov chain Markov models Statistics Graphical models
243	Efficient kriging for real-time spatio-temporal interpolation Balaji Vasan Srinivasan, Ramani Duraiswami, Raghu Murtugudde , , Kriging computational cost • Add to Reading List Source URL: www.climateneeds.umd.edu Language: English - Date: 2014-05-05 14:51:10 Kriging Multivariate interpolation Kernel methods Krige Random field Graphics processing unit Geostatistics Statistics Interpolation
244	Discussion contribution: Lindgren, F., Rue, H. and Lindstr¨om, JAn explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach. To appear in J Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2011-03-23 05:55:28 Monte Carlo methods Geostatistics Computational statistics Spatial data analysis Markov chain Monte Carlo Markov chain Normal distribution Markov random field Covariance function Statistics Probability and statistics Markov models
245	KOCAK ET AL.: TOP DOWN SALIENCY ESTIMATION 1 Top down saliency estimation via superpixel-based discriminative dictionaries Add to Reading List Source URL: web.cs.hacettepe.edu.tr Language: English - Date: 2014-08-12 02:17:34 Image processing Vision Attention Attention-deficit hyperactivity disorder Neuropsychological assessment Conditional random field Object recognition Kadir–Brady saliency detector Salience Computer vision Neuroscience Artificial intelligence
246	Random Switching Logic: A Countermeasure against DPA based on Transition Probability Daisuke Suzuki1 , Minoru Saeki1 , and Tetsuya Ichikawa2 1 Mitsubishi Electric Corporation, Information Technology R&D Center, Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2004-12-03 04:28:45 Electromagnetism Electronic design Logic families CMOS Hazard Field-programmable gate array Logic gate Electronic circuit Electronic engineering Electronics Digital electronics
247	Bilinear estimation of pollution source profiles Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2002-04-29 18:28:55 Probability and statistics Probability Probability theory Artificial intelligence Markov chain Markov random field Markov property Markov processes Markov models Statistics
248	Space-time modelling: Gaussian Markov Random Fields Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2012-10-16 13:54:35 Probability and statistics Graphical models Probability Markov processes Networks Markov random field Markov property Random field Statistics Probability theory Markov models
249	Conditional Random Fields with High-Order Features for Sequence Labeling Dan Wu Hai Leong Chieu Nan Ye Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2010-03-02 00:50:27 Probability and statistics Machine learning Conditional random field Theoretical computer science Markov chain Hidden Markov model Bayesian network Statistics Markov models Graphical models
250	EXTENDING INFERENCE IN CONTINUOUS TIME BAYESIAN NETWORKS by Liessman Eric Sturlaugson A dissertation proposal submitted in partial fulfillment Add to Reading List Source URL: www.cs.montana.edu Language: English - Date: 2014-10-27 15:50:51 Graphical models Statistical models Markov models Networks Bayesian network Hidden Markov model Markov chain Bayesian inference Markov random field Statistics Bayesian statistics Probability and statistics

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