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Computational model
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#	Item
731	JPSPGC.logo.fadebar.bluetails Add to Reading List Source URL: globalchange.mit.edu Language: English - Date: 2015-03-04 12:14:15 Climate forcing Computational science Global climate model Global warming Climate model Climate Climate change and agriculture Dynamic global vegetation model Atmospheric sciences Climatology Climate change
732	10 Supplementary Materials Global Climate Projections Coordinating Lead Authors: Add to Reading List Source URL: ipcc.ch Language: English - Date: 2009-03-30 18:03:16 Climate forcing Computational science Global climate model Global warming X Window System Logarithm Software Climatology Atmospheric sciences
733	http://oasys.acs.org/acs/238nm/comp/staff/program.cgi?passwo... COMP DIVISION OF COMPUTERS IN CHEMISTRY Final Program, 238th ACS National Meeting, Washington, DC, August 16-20, 2009 Add to Reading List Source URL: oldwww.acscomp.org Language: English - Date: 2011-07-01 06:30:49 Molecular modelling Molecular dynamics Force field Water model Crystal Chemistry Computational chemistry Science
734	Computational Statistics & Data Analysis – 537 www.elsevier.com/locate/csda Latent class models for classi%cation Jeroen K. Vermunta;∗ , Jay Magidsonb a Department Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-07-22 15:03:17 Categorical data Statistical models Machine learning Latent class model Logistic regression Latent variable Linear regression Supervised learning Naive Bayes classifier Statistics Regression analysis Econometrics
735	GLACE-2 (An AGCM intercomparison study co-sponsored by GLASS and WGSIP) Brief description: “GLACE-2”, the 2nd phase of the Global Land Atmosphere Coupling Experiment, is aimed at quantifying, across a broad range of Add to Reading List Source URL: gmao.gsfc.nasa.gov Language: English - Date: 2008-09-08 16:39:41 Statistical forecasting Computational science Atmospheric model Global climate model Weather forecasting Forecasting Global Energy and Water Cycle Experiment Precipitation Rain Atmospheric sciences Meteorology Weather prediction
736	CHAPTER 6. MODEL AND MODEL SUMMARY OUTPUT CHAPTER 7. TUTORIALS Sectionscontain tutorials which introduces the basic ideas in traditional latent class modeling using 4 nominal categorical variables. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-18 08:50:19 Statistical inference Statistical models Computational statistics SPSS Dummy variable Bootstrapping Latent class model Autoregressive conditional heteroskedasticity Statistics Econometrics Regression analysis
737	Comparison of two data-driven approaches for daily river flow forecasting Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 23:14:26 Water Statistics Computational neuroscience Computational statistics Hydraulic engineering Hydrological transport model Runoff model Artificial neural network Forecasting Hydrology Neural networks Earth
738	Using Empirical Models to Estimate the Impacts of Non-Point Source Loading on Dissolved Oxygen in Coastal Areas Add to Reading List Source URL: advdmi.com Language: English - Date: 2014-01-16 13:36:29 Prediction Data analysis Forecasting Time series analysis Computational statistics Science Meteorology Artificial neural network Economic model Statistical forecasting Statistics Neural networks
739	Combining Structural Information and the Use of Priors in Mixed Named-Page and Homepage Finding Paul Ogilvie and Jamie Callan Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2004-02-12 14:06:52 Computational linguistics Bayesian statistics Information retrieval Prior probability Text Retrieval Conference N-gram Language model Natural language processing Probability Science
740	Bootstrapping Language Associated with Biomedical Entities The AID Group at TREC Genomics 2007 Edgar Meij and Sophia Katrenko ISLA, University of Amsterdam emeij, Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2008-02-06 14:07:41 Artificial intelligence Linguistics Information retrieval Text Retrieval Conference Information extraction Language model Named-entity recognition TREC Genomics Natural language processing Science Computational linguistics

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