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Statistical ensemble
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#	Item
651	User Awareness & Training: The Helsinki Atmosphere Test Case Bucharest, Romania – 10th October 2013 Joana Soares Add to Reading List Source URL: www.copernicus.eu Language: English - Date: 2014-07-03 06:15:02 Earth Air pollution Air dispersion modeling Weather prediction Pollen Ensemble forecasting HIRLAM Data assimilation Atmospheric dispersion modeling Atmospheric sciences Meteorology Statistical forecasting
652	Microsoft Word[removed]28_Draft_programme Add to Reading List Source URL: www.ecmwf.int Language: English - Date: 2014-10-28 11:58:13 Precipitation Weather prediction Environmental science Hydraulic engineering Hydrology Ensemble forecasting Data assimilation Shinfield Rain Atmospheric sciences Meteorology Statistical forecasting
653	User Awareness & Training: The Helsinki Atmosphere Test Case Lisbon, Portugal – 13th February 2014 Joana Soares Add to Reading List Source URL: www.copernicus.eu Language: English - Date: 2014-07-03 07:39:21 Ensemble forecasting HIRLAM Science Forecasting Meteorology Statistical forecasting Statistics Air pollution
654	Advances in data assimilation techniques and their relevance to satellite data assimilation ECMWF Seminar on Use of Satellite Observations in NWP Andrew Lorenc, , 8-12 September 2014. © Crown copyright Met Office Add to Reading List Source URL: www.ecmwf.int Language: English - Date: 2014-09-09 09:09:29 Control theory Systems theory Cybernetics Statistical forecasting Data assimilation Weather prediction Ensemble Kalman filter Covariance Crown copyright Bayesian statistics Estimation theory Statistics
655	Microsoft Word - 10miyoshi.doc Add to Reading List Source URL: www.nopp.org Language: English - Date: 2014-12-24 10:06:37 Weather prediction Statistical forecasting Bayesian statistics Estimation theory Control theory Data assimilation Atmospheric model Ensemble Kalman filter Kalman filter Atmospheric sciences Meteorology Statistics
656	Journal of Machine Learning Research[removed]3181 Submitted 11/13; Revised 4/14; Published[removed]Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-11-02 15:45:55 Ensemble learning Parts of speech Naive Bayes classifier Linear discriminant analysis Boosting Support vector machine Classifier Perceptron Random forest Statistics Machine learning Statistical classification
657	Chaos and weather prediction Chaos and weather prediction January 2000 By Add to Reading List Source URL: www.ecmwf.int Language: English - Date: 2014-08-11 08:07:22 Statistical forecasting Computational science European Centre for Medium-Range Weather Forecasts Numerical weather prediction Weather forecasting Data assimilation Ensemble forecasting Global climate model Forecasting Atmospheric sciences Meteorology Weather prediction
658	Web-based Appendix for The Evolution of Boosting Algorithms From Machine Learning to Statistical Modelling Andreas Mayr∗1 , Harald Binder2 , Olaf Gefeller1 , Matthias Schmid1,3 1 Add to Reading List Source URL: www.schattauer.de Language: English - Date: 2014-11-07 04:52:43 Gradient boosting Errors and residuals in statistics R AdaBoost Ordinary least squares Degrees of freedom Least squares Boosting Bootstrapping Statistics Regression analysis Ensemble learning
659	This discussion paper is/has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP if available. Discussion Paper Atmos. Chem. Phys. Discuss., 14 Add to Reading List Source URL: www.atmos-chem-phys-discuss.net Language: English - Date: 2014-12-27 09:07:08 Economic model Statistical ensemble
660	Institut für Informatik und Wirtschaftsinformatik -- Lehrstuhl für Wirtschaftsinformatik V Dr. Heiko Paulheim / Robert Meusel Exercise 4: Data Mining II – Ensembles In this exercise we will focus on all kinds of ense Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:11 Learning Classifier Boosting AdaBoost Statistical classification Random subspace method Cascading classifiers Ensemble learning Statistics Artificial intelligence

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