Root-mean-square deviation - PDFSEARCH.IO - Document Search Engine

Root-mean-square deviation
Results: 401

#	Item
181	Published online April 22, [removed]–2309 Nucleic Acids Research, 2005, Vol. 33, No. 7 doi:[removed]nar/gki524 TM-align: a protein structure alignment algorithm based on the TM-score Add to Reading List Source URL: zhanglab.ccmb.med.umich.edu Language: English - Date: 2008-12-16 16:17:42 Biology Protein methods Protein structure Computational chemistry Stereochemistry Structural alignment Root-mean-square deviation Sequence alignment Template Modeling Score Bioinformatics Science Chemistry
182	egu_logo_without_circle_grey Add to Reading List Source URL: www.geosci-model-dev.net Language: English - Date: 2014-12-04 04:35:15 Estimation theory Control theory Linear filters Ozone Data assimilation Ensemble Kalman filter Errors and residuals in statistics Forecasting Root-mean-square deviation Statistics Statistical forecasting Bayesian statistics
183	Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model Yehuda Koren AT&T Labs – Research 180 Park Ave, Florham Park, NJ 07932 Add to Reading List Source URL: public.research.att.com Language: English - Date: 2008-09-15 15:50:58 Information retrieval Collaborative filtering Recommender system Singular value decomposition Netflix Latent semantic analysis Root-mean-square deviation Economic model Factor analysis Algebra Information science Statistics
184	Intraseasonal evolution of the number of wind storms in the multi-model DEMETER data base Institut für Meteorologie Dominik Renggli, Gregor C. Leckebusch and Uwe Ulbrich (Mail: [removed]) Add to Reading List Source URL: www.geo.fu-berlin.de Language: English - Date: 2013-07-13 17:07:16 Atmospheric dynamics Root-mean-square deviation Forecasting North Atlantic oscillation Errors and residuals in statistics Climatology Percentile Meteorology Wind Statistics Atmospheric sciences Statistical forecasting
185	Spatial data mining for retail sales forecasting Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2008-04-02 11:11:32 Econometrics Scientific method Statistical forecasting Forecasting Data mining Linear regression Errors and residuals in statistics Root-mean-square deviation Least squares Statistics Regression analysis Data analysis
186	Comments on ASPRS Accuracy Standards for Digital Geospatial Data By Harold Schuch, [removed]Introduction First of all, it is great that ASPRS should again get involved in the accuracy debacle. Also, I’m fully aware o Add to Reading List Source URL: www.asprs.org Language: English - Date: 2014-02-26 23:21:22 GPS Root-mean-square deviation Numerical analysis USGS DEM Normal distribution Errors and residuals in statistics Dilution of precision LIDAR Propagation of uncertainty Statistics Measurement Statistical theory
187	TO: ASPRS Map Accuracy Working Group FROM: HCS DATE: [removed]The following are my thoughts on ASPRS_Positional_Accuracy_Standards_for_Digital_Geospatial_Data_Draft_Rev6_V1_Highlighted.docx . I address my comments Add to Reading List Source URL: www.asprs.org Language: English - Date: 2014-11-14 22:28:05 Error Geodesy LIDAR Robotic sensing Root-mean-square deviation Errors and residuals in statistics Mean squared error USGS DEM Surveying Statistics Measurement Statistical theory
188	Dissemination of information in CADASTER project Igor V. Tetko Helmholtz Zentrum München, Germany CADASTER workshop on a use of alternative methods in REACH Maribor, September 2nd, 2011 Add to Reading List Source URL: www.cadaster.eu Language: English - Date: 2012-05-31 11:35:45 Computational chemistry Medicinal chemistry Pharmacology Quantitative structure–activity relationship Chemistry Root-mean-square deviation ICANN Statistics Science Cheminformatics
189	Geophysical Research Abstracts Vol. 14, EGU2012-3775, 2012 EGU General Assembly 2012 © Author(s[removed]How accurate can we be? – An evaluation of airborne digital elevation Add to Reading List Source URL: www.geo.uzh.ch Language: English - Date: 2013-03-02 22:10:40 Geomorphology Digital elevation model Remote sensing USGS DEM Root-mean-square deviation Landform Sensor Absolute deviation Statistics Topography Cartography
190	Atmos. Chem. Phys., 12, 5077–5098, 2012 www.atmos-chem-phys.net[removed]doi:[removed]acp[removed] © Author(s[removed]CC Attribution 3.0 License. Atmospheric Add to Reading List Source URL: atmos-chem-phys.net Language: English - Date: 2013-01-17 20:21:33 AERONET Measurement uncertainty Sensitivity analysis Uncertainty analysis Water vapor Greenhouse gas Least squares Statistics Measurement Root-mean-square deviation

UPDATE