Markov models - PDFSEARCH.IO - Document Search Engine

Markov models
Results: 2603

#	Item
761	TRANSFORMING SPATIAL POINT PROCESSES INTO POISSON PROCESSES USING RANDOM SUPERPOSITION By Jesper Møller∗ and Kasper K. Berthelsen∗ Aalborg University Most finite spatial point process models specified by a density Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2010-07-30 02:42:25 Markov processes Poisson distribution Point process Sturm–Liouville theory Statistics Stochastic processes Poisson processes
762	A hidden Markov model for downscaling synoptic atmospheric patterns to precipitation amounts Enrica Bellone James P. Hughes Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-08-14 12:45:53 Meteorology Bioinformatics Markov processes Computational science Markov chain Hidden Markov model Rain Climate Precipitation Statistics Atmospheric sciences Markov models
763	MAXIMUM CONDITIONAL LIKELIHOOD LINEAR REGRESSION AND MAXIMUM A POSTERIORI FOR HIDDEN CONDITIONAL RANDOM FIELDS SPEAKER ADAPTATION Yun-Hsuan Sung,1 Constantinos Boulis,2 Dan Jurafsky3 Electrical Engineering,1 Linguistics2 Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2008-04-28 14:26:34 Econometrics Machine learning Markov models Hidden Markov model Maximum likelihood Linear regression Pattern recognition Normal distribution Conditional random field Statistics Estimation theory Regression analysis
764	ROBUST 3D LOCALIZATION AND TRACKING OF SOUND SOURCES USING BEAMFORMING AND PARTICLE FILTERING Jean-Marc Valin∗ †, Franc¸ois Michaud† and Jean Rouat† CSIRO ICT Centre, Cnr Vimiera & Pembroke Rds, Marsfield NSW 21 Add to Reading List Source URL: jmvalin.ca Language: English - Date: 2006-01-16 22:51:44 Control theory Beamforming Signal processing Sonar Markov models Kalman filter Particle filter Microphone array Microphone Robot control Statistics Electronic engineering
765	Japanese Monetary Policy Reaction Function and Time-Varying Structural Vector Autoregressions: A Monte Carlo Particle Filtering Approach ∗ Koiti Yano† Naoyuki Yoshino‡ Add to Reading List Source URL: www.fsa.go.jp Language: English - Date: 2008-02-14 02:11:11 Control theory Robot control Econometrics Time series analysis Kalman filter State observer Vector autoregression Markov chain Time series Statistics Probability and statistics Markov models
766	Work in progress – please don’t cite without authors’ permission Bayesian Estimation of Input-Output Tables for Russia Oleg Lugovoy a,b† Add to Reading List Source URL: www.iioa.org Language: English - Date: 2012-04-30 17:43:30 Statistical inference Statistical theory Estimation theory Markov models Point estimation Bayesian inference Principle of maximum entropy Prior probability Markov chain Monte Carlo Statistics Bayesian statistics Probability and statistics
767	A Topic Model for Word Sense Disambiguation Jordan Boyd-Graber Computer Science Princeton University Princeton, NJ 08540 Add to Reading List Source URL: wordnet.cs.princeton.edu Language: English - Date: 2007-06-07 21:56:37 Science Computational linguistics Markov models Statistical models Natural language processing Latent Dirichlet allocation Word-sense disambiguation WordNet Topic model Statistics Statistical natural language processing Probability and statistics
768	Phase-Type Distributions for Competing Risks Bo Henry Lindqvist Norwegian University of Science and Technology, Trondheim, NORWAY e-mail: Abstract Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Regression analysis Statistical models Econometrics Markov chain Phase-type distribution Proportional hazards models Expectation–maximization algorithm Stochastic matrix Gibbs sampling Statistics Markov models Markov processes
769	In Proceedings of 12th Conference on Uncertainty in Artificial Intelligence, Portland, Oregon, August 1996 Ecient enumeration of instantiations in Bayesian networks Sampath Srinivas Add to Reading List Source URL: xenon.stanford.edu Language: English - Date: 2007-05-21 03:39:48 Bayesian network Networks Bioinformatics Mathematics Applied mathematics Algorithm Hidden Markov model XTR Graphical models Statistics Bayesian statistics
770	AND/OR Search Spaces for Graphical Models Rina Dechter and Robert Mateescu Donald Bren School of Information and Computer Science University of California, Irvine, CAAbstract Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2006-11-07 17:35:27 Constraint programming Bayesian statistics Statistical models Networks Tree decomposition Bayesian network Constraint satisfaction Markov random field Graph Graph theory Mathematics Graphical models

UPDATE