Statistical ensemble

Results: 1365



#Item
261Learning / AdaBoost / Boosting / Statistical classification / Type I and type II errors / Gain / Face detection / Bootstrapping / Boosting methods for object categorization / Ensemble learning / Artificial intelligence / Statistics

Department of Electrical and Computer Systems Engineering Technical Report MECSE

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Source URL: www.ecse.monash.edu.au

Language: English - Date: 2005-03-30 03:00:23
262Statistical energy analysis / Statistical ensemble / Vibration / Resonance / Physics / Statistical mechanics / Acoustics

STATISTICAL MEASURES TO DESCRIBE THE VIBRATIONAL CHARACTERISTICS OF STRUCTURES WITH UNCERTAINTY Geoff Lucas and Nicole Kessissoglou School of Mechanical and Manufacturing Engineering University of New South Wales (UNSW)

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Source URL: www.acoustics.asn.au

Language: English - Date: 2011-05-02 01:30:16
263Philosophy of thermal and statistical physics / Statistical ensemble / HFIP

HFIP Ensemble Product Development Subgroup Conference Call 16 Aug 2011, 2:00-2:30 PM Eastern Time Participants CIRA and NESDIS: Mark DeMaria, John Knaff, Kate Musgrave, Brian McNoldy DTC: Mrinal Biswas

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Source URL: rammb.cira.colostate.edu

Language: English - Date: 2011-08-22 18:26:51
264Statistics / Weather prediction / Computational science / Atmospheric model / Global climate model / Data assimilation / Forecasting / Ensemble forecasting / Atmospheric sciences / Meteorology / Statistical forecasting

Subseasonal to Decadal Prediction at CCCma Wm. Merryfield, W.-S. Lee, S. Kharin, G.J. Boer, J. Scinocca, G. Flato Overview The Figure above, summarizes most of CCCma’s participation in sub-seasonal to decadal

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Source URL: www.wcrp-climate.org

Language: English - Date: 2013-12-17 09:03:09
265Ensemble forecasting / Presentation of a group / Mathematics / Statistics / Science / Hurricane Weather Research and Forecasting model / HFIP / Statistical forecasting

Collaborative Development of an HFIP regional ensemble forecast system Ensemble product and construction subgroups 12 March 2012 Summary: The opening conference call of this subgroup had 15 participants for the half hou

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Source URL: rammb.cira.colostate.edu

Language: English - Date: 2012-03-13 15:25:26
266Weather prediction / Statistical forecasting / Control theory / Monte Carlo methods / Systems theory / HFIP / Fuqing / Data assimilation / Ensemble Kalman filter / Bayesian statistics / Estimation theory / Statistics

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

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Source URL: rammb.cira.colostate.edu

Language: English - Date: 2011-10-17 18:42:45
267Climatology / Statistical forecasting / Computational science / Climate forcing / Global climate model / Global warming / Forecasting / Ensemble forecasting / Hurricane Weather Research and Forecasting model / Atmospheric sciences / Meteorology / Weather prediction

Update on IRI Seasonal Forecasting Activities for WGSIP July 2010 The International Research Institute for Climate and Society (IRI) has introduced a family of real-time coupled seasonal forecast models. These models all

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Source URL: www.wcrp-climate.org

Language: English - Date: 2013-12-17 09:03:10
268Computational science / Climate forcing / Global climate model / Global warming / Atmospheric model / Forecasting / Precipitation / Rain / Ensemble forecasting / Atmospheric sciences / Meteorology / Statistical forecasting

MULTIMODEL ENSEMBLING IN SEASONAL CLIMATE FORECASTING AT IRI BY ANTHONY G. BARNSTON, SIMON J. MASON, LISA GODDARD,

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Source URL: www.inmet.gov.br

Language: English - Date: 2007-11-06 18:33:00
269Meteorology / Broadcasting / Weather forecasting / Forecasting / Ensemble / Weather / Ensemble forecasting / Statistical forecasting / Statistics / Prediction

Sentiment Analysis by Ensemble Post-Processing Mark Gingrich - March 5, 2014

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Source URL: sentimentsymposium.com

Language: English - Date: 2014-03-12 10:32:39
270Learning / Statistical classification / Machine learning / AdaBoost / Boosting / Computer vision / Margin classifier / Face recognition / Eigenface / Artificial intelligence / Statistics / Ensemble learning

Boosting for Fast Face Recognition Guo-Dong Guo and Hong-Jiang Zhang Microsoft Research China 5F, Beijing Sigma Center No. 49, Zhichun Road, Haidian District Beijing, P. R. China

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Source URL: www.face-rec.org

Language: English - Date: 2007-07-01 02:44:40
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