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Monte Carlo
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#	Item
981	Computer Science “Professor Zhou’s book is a comprehensive introduction to ensemble methods in machine learning. It reviews the latest research in this exciting area. I learned a lot reading it!” —Thomas G. Diet Add to Reading List Source URL: www.islab.ntua.gr Language: English - Date: 2015-02-05 08:23:09 Pattern recognition Supervised learning Semi-supervised learning Neural network Data mining Random forest Computational learning theory Ensemble learning Markov chain Monte Carlo Machine learning Artificial intelligence Learning
982	Total Variation Reconstruction From Quasi-Random Samples Colas Schretter1,2 , Ignace Loris3 , Ann Dooms1,2 and Peter Schelkens1,2 1 Vrije Universiteit Brussel, Dept. of Electronics and Informatics, Pleinlaan 2, B-1050 Br Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2014-02-26 11:10:13 Randomness Non-uniform random numbers Monte Carlo methods Numerical analysis Sampling Low-discrepancy sequence Peak signal-to-noise ratio Pseudo-random number sampling Inverse transform sampling Mathematics Applied mathematics Probability and statistics
983	Collaborative Development of an HFIP regional ensemble forecast system Ensemble product and construction subgroups 24 September 2012 Summary: The opening conference call of this subgroup had 8 participants for the forty Add to Reading List Source URL: rammb.cira.colostate.edu Language: English - Date: 2012-09-28 12:47:00 Ensemble Kalman filter Control theory Electronic engineering Statistics Monte Carlo methods Hurricane Weather Research and Forecasting model HFIP
984	Collaborative Development of an HFIP regional ensemble forecast system Ensemble prototype construction subgroup 17 October 2011 – 1800 UTC Summary: The opening conference call of this subgroup had 24 participants for Add to Reading List Source URL: rammb.cira.colostate.edu Language: English - Date: 2011-10-17 18:42:45 Weather prediction Statistical forecasting Control theory Monte Carlo methods Systems theory HFIP Fuqing Data assimilation Ensemble Kalman filter Bayesian statistics Estimation theory Statistics
985	Permutation Tests (and Sampling Without Replacement) Orders of Magnitude Faster Using SAS® John Douglas (“J.D.”) Opdyke,* DataMineIt Abstract Six permutation test algorithms coded in SAS® are compared. The fastest Add to Reading List Source URL: www.datamineit.com Language: English - Date: 2011-01-23 12:21:21 Data analysis Statistical tests Non-parametric statistics Resampling SAS Permutation Bootstrapping Fisher–Yates shuffle Algorithm Statistics Statistical inference Monte Carlo methods
986	Statistics and Computing, 197–208 On sequential Monte Carlo sampling methods for Bayesian filtering ARNAUD DOUCET, SIMON GODSILL and CHRISTOPHE ANDRIEU Signal Processing Group, Department of Engineering, Uni Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2005-07-07 17:22:40 Estimation theory Control theory Electronic engineering Signal processing Particle filter Vehicle Identification Number Importance sampling Kalman filter XK Robot control Statistics Monte Carlo methods
987	Combining analog method and ensemble data assimilation: application to the Lorenz-63 chaotic system Pierre Tandeo, Pierre Ailliot, Juan Ruiz, Alexis Hannart, Bertrand Chapron, Anne Cuzol, Val´erie Monbet, Robert Easton Add to Reading List Source URL: perso.telecom-bretagne.eu Language: English - Date: 2015-03-05 09:22:01 Cybernetics Control theory Monte Carlo methods Linear filters Robot control Kalman filter Data assimilation Chaos theory Dynamical system Statistics Estimation theory Systems theory
988	Monte Carlo codes intercomparison exercise ICRM Gamma-Ray Spectrometry Working Group In gamma-ray spectrometry, detector efficiency calibration represents a subject of considerable interest and importance, since it is a Add to Reading List Source URL: www.nucleide.org Language: English - Date: 2007-08-28 10:48:17 Particle physics Spectroscopy Medical imaging Semiconductor detector Germanium Gamma spectroscopy Physics Chemistry Spectrometers
989	Efficiency Calibration of an extended-range Ge detector by Monte Carlo Simulation Virginia Peyres. E. García-Toraño Laboratorio de Metrología de Radiaciones Ionizantes Add to Reading List Source URL: www.nucleide.org Language: English - Date: 2009-07-02 08:57:26 Spectrometers Gamma spectroscopy Radioactivity Monte Carlo method X-ray Electron Physics Spectroscopy Nuclear physics
990	c 2008 International Press COMMUNICATIONS IN INFORMATION AND SYSTEMS Vol. 8, No. 3, pp, 2008 Add to Reading List Source URL: www.ims.cuhk.edu.hk Language: English - Date: 2009-02-19 09:02:38 Monte Carlo methods Statistical theory Markov models Mathematical optimization Normal distribution Markov chain Kullback–Leibler divergence Stochastic process Stochastic approximation Statistics Stochastic optimization Operations research