Statistical ensemble

Results: 1365



#Item
331Weather prediction / Bayesian statistics / Estimation theory / Statistical forecasting / Computational science / Data assimilation / Nitrogen dioxide / Numerical weather prediction / Ensemble Kalman filter / Science / Atmospheric sciences / Meteorology

Geosci. Model Dev., 6, 1–16, 2013 www.geosci-model-dev.netdoi:gmd © Author(sCC Attribution 3.0 License. Geoscientific

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Source URL: www.geosci-model-dev.net

Language: English - Date: 2014-12-04 04:13:11
332Decision trees / Ensemble learning / Random forest / Decision tree learning / Statistical classification / Perceptron / Machine learning / Computational statistics / Artificial intelligence

Classification and Trees Luc Devroye School of Computer Science, McGill University Montreal, Canada H3A 2K6 This paper is dedicated to the memory of Pierre Devijver.

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Source URL: www.ee.surrey.ac.uk

Language: English - Date: 2011-07-07 10:04:15
333Linear algebra / Statistical classification / Mathematical analysis / Regularization / Tikhonov regularization / AdaBoost / Support vector machine / Statistics / Mathematics / Ensemble learning

NIPS03 Workshop: l1 -norm regularization l1 -norm Ji Zhu, Saharon Rosset, Trevor Hastie, Rob Tibshirani

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Source URL: clopinet.com

Language: English - Date: 2003-12-18 13:39:52
334Cybernetics / Statistical forecasting / Linear filters / Bayesian statistics / Flood forecasting / Data assimilation / Ensemble Kalman filter / Kalman filter / Forecasting / Statistics / Estimation theory / Control theory

Real-time Flood Forecasting Using Ensemble Kalman Filter Srikanthan, R. 1, 2, G. Amirthananthan 1, 2 and G. Kuczera 2,3 1 2

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-16 20:02:05
335Bioinformatics / Bayesian statistics / Cross-validation / Model selection / Ensemble learning / Supervised learning / Support vector machine / Naive Bayes classifier / Sequence alignment / Statistics / Machine learning / Statistical classification

Assessing the Performance of Macromolecular Sequence Classifiers Cornelia Caragea, Jivko Sinapov, Vasant Honavar Drena Dobbs

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Source URL: www.cs.iastate.edu

Language: English - Date: 2007-09-25 17:18:34
336Bayesian statistics / Naive Bayes classifier / Ensemble learning / Support vector machine / Classifier / Document classification / Random naive Bayes / Multiclass classification / Statistics / Statistical classification / Machine learning

RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification? Dae-Ki Kang, Adrian Silvescu, and Vasant Honavar Artificial Intelligence Research Laboratory Department of Computer Science Iowa State University

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Source URL: www.cs.iastate.edu

Language: English - Date: 2006-01-11 14:05:00
337Estimation theory / Linear filters / Bayesian statistics / Robot control / Data assimilation / Kalman filter / Covariance / Variance / Statistical ensemble / Statistics / Control theory / Cybernetics

A Hybrid Data Assimilation System (WRF-VAR and Ensemble Transform Kalman Filter ) Based Retrospective Tests Meral Demirtas National Center for Atmospheric Research

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Source URL: www2.mmm.ucar.edu

Language: English - Date: 2009-07-01 16:30:47
338Estimation theory / Bayesian statistics / Statistical forecasting / Monte Carlo methods / Signal processing / Parameter / Data assimilation / Global climate model / Ensemble Kalman filter / Atmospheric sciences / Statistics / Meteorology

/Users/yunliu/foamdata/EnKF/clmsens/atmbia_org_updt_500mb.eps

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Source URL: aos.wisc.edu

Language: English - Date: 2015-01-30 23:47:58
339Monte Carlo methods / Ensemble forecasting / Forecasting / Weather forecasting / Ensemble averaging / Variance / Root-mean-square deviation / Uncertainty / Statistics / Statistical forecasting / Data analysis

Atmos. Chem. Phys., 14, 11791–11815, 2014 www.atmos-chem-phys.netdoi:acp © Author(sCC Attribution 3.0 License. De praeceptis ferendis: good practice in multi-model ensemb

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Source URL: www.atmos-chem-phys.net

Language: English - Date: 2014-11-11 09:12:36
340Statistical classification / Bayesian statistics / Ensemble learning / Margin classifier / Naive Bayes classifier / K-nearest neighbor algorithm / Perceptron / Weka / Random subspace method / Statistics / Machine learning / Artificial intelligence

Learning classifiers from distributed, semantically heterogeneous, autonomous data sources by Doina Caragea A dissertation submitted to the graduate faculty

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Source URL: www.cs.iastate.edu

Language: English - Date: 2005-01-08 20:51:16
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