PPT-Uncertainty Representation and Quantification

Author : conchita-marotz | Published Date : 2016-08-04

in Precipitation Data Records Yudong Tian Collaborators Ling Tang Bob Adler George Huffman Xin Lin Fang Yan Viviana Maggioni and Matt Sapiano   University of Maryland

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Uncertainty Representation and Quantific..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Uncertainty Representation and Quantification: Transcript


in Precipitation Data Records Yudong Tian Collaborators Ling Tang Bob Adler George Huffman Xin Lin Fang Yan Viviana Maggioni and Matt Sapiano   University of Maryland amp NASAGSFC httpsigmaumdedu. School of Social and Political . Science. University of Edinburgh. Governing by Numbers: . The Role of Quantification and Targets in UK Debates on Immigration and Asylum. Context. New Centre for Science, Knowledge and Policy (June 2014). Economics. Joshua Farley. Community Development and Applied Economics. Gund. Institute for Ecological Economics. University of Vermont. Overview. Math has brought rigor to economics, but also mortis. Michael Clarkson and Fred B. Schneider. Cornell University. RADICAL. May 10, 2010. Goal. Information-theoretic. Quantification of. programs’ impact on. Integrity. of Information. (relationship to database privacy). vine rst second Representation Heads Modi ers Representation Heads Modi ers Representation Heads Modi ers Representation Heads Modi ers First-OrderFeatureCalculation ArcLengthByPart-of-Speech ArcLeng Maryann S. Vogelsang. 1. , Amol Prakash. 1. , David Sarracino. 1. , Scott Peterman. 1. , Bryan Krastins. 1. , Jennifer Sutton. 1. , Gregory Byram. 1. , Gouri Vadali. 1. , . Shadab. Ahmad. 1. ,. Bruno Darbouret. Gasifiers. Performance Measures x.x, x.x, and x.x. Aytekin Gel. 1,2 . , Mehrdad Shahnam. 1. , . Arun K. Subramaniyan. 3 . , Jordan Musser. 1. , . Jean-François Dietiker. 1,4. (1) National Energy Technology Laboratory , Morgantown, WV, U.S.A.. April 5-8, 2016. Lausanne, Switzerland. Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for . Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice . April 5-8, 2016. Lausanne, Switzerland. Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for . Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice . Russell . Hooper. NEKVAC/NUC Workshop. “Multiphysics Model Validation”. NCSU, Raleigh. June 28, 2017. Initial Scope: UQ CIPS Challenge . Problem. Quarter-core CIPS (. QoIs. : . max_crud_thickness. probabilistic . dependency. Robert . L. . Mullen. Seminar: NIST . April 3. th. 2015. Rafi Muhanna. School of Civil and Environmental . Engineering . Georgia Institute of . Technology. . Atlanta, GA 30332, USA. β. . deposits. . from . brain biopsy tissue. . Color . image before analysis. . A. β. deposits are shown in brown colored immunostain. . This image has been flat field corrected for uneven illumination. . Neutron autoradiography. Imaging. and . quantification. of . 10. B . distribution. in a . biological. sample can be . obtained. by . neutron. . autoradiography. :. sensitive film. 10. B. n. Li. OH. O. PO. 3. H. -. NH. 3. +. H. N. COCH. 3. kinases. phosphatase. acetyl. transferases. deacetylases. Birgit Schilling. Buck Institute for Research on Aging. Webinar . #1: Getting the Most Out of DDA Data with Skyline. WP3 . Activity 3 Health . Parameters. . • . Embrun. , 26-27 March 2018. Visite 1 (. July. 2017). Virginie et Mathilde :. OK pour Ajouter les diapos FR envoyés par André. + ajouter les commentaires (André Lucie ?).

Download Document

Here is the link to download the presentation.
"Uncertainty Representation and Quantification"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents