Data modeling

Results: 6592



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31Chapter 8 The exponential family: Basics In this chapter we extend the scope of our modeling toolbox to accommodate a variety of additional data types, including counts, time intervals and rates. We introduce the exponen

Chapter 8 The exponential family: Basics In this chapter we extend the scope of our modeling toolbox to accommodate a variety of additional data types, including counts, time intervals and rates. We introduce the exponen

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Source URL: people.eecs.berkeley.edu

- Date: 2010-01-20 16:04:07
    32Learning via Probabilistic Modeling of Data Piyush Rai Machine Learning (CS771A) Aug 12, 2016 Machine Learning (CS771A)

    Learning via Probabilistic Modeling of Data Piyush Rai Machine Learning (CS771A) Aug 12, 2016 Machine Learning (CS771A)

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    Source URL: cse.iitk.ac.in

    - Date: 2016-09-08 01:54:33
      33Conceptual Modeling for Data Integration Diego Calvanese1 , Giuseppe De Giacomo2 , Domenico Lembo2 , Maurizio Lenzerini2, and Riccardo Rosati2 1 KRDB Research Centre Free University of Bozen-Bolzano

      Conceptual Modeling for Data Integration Diego Calvanese1 , Giuseppe De Giacomo2 , Domenico Lembo2 , Maurizio Lenzerini2, and Riccardo Rosati2 1 KRDB Research Centre Free University of Bozen-Bolzano

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      Source URL: www.dis.uniroma1.it

      - Date: 2010-04-29 06:31:55
        34The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources Keith Vertanen Department of Computer Science Princeton University

        The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources Keith Vertanen Department of Computer Science Princeton University

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        Source URL: pokristensson.com

        - Date: 2011-07-24 17:27:22
          35EXECUTIVE SUMMARY Building a Cyberinfrastructure for Environmental System Science: Modeling Frameworks, Data Management, and Scientific Workflows About the Cover: Envisioned is a community-driven cyberinfrastructure sup

          EXECUTIVE SUMMARY Building a Cyberinfrastructure for Environmental System Science: Modeling Frameworks, Data Management, and Scientific Workflows About the Cover: Envisioned is a community-driven cyberinfrastructure sup

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          Source URL: doesbr.org

          - Date: 2016-12-15 12:10:56
            36a Environmental System Science Workshop on Model-Data Integration: Modeling Frameworks, Data Management, and Scientific Workflows April 30−May 1, 2015 Potomac, Maryland

            a Environmental System Science Workshop on Model-Data Integration: Modeling Frameworks, Data Management, and Scientific Workflows April 30−May 1, 2015 Potomac, Maryland

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            Source URL: doesbr.org

            - Date: 2016-12-15 12:10:56
              37Delft University of Technology Software Engineering Research Group Technical Report Series Unifying and Generalizing Relations in Role-Based Data Modeling and Navigation

              Delft University of Technology Software Engineering Research Group Technical Report Series Unifying and Generalizing Relations in Role-Based Data Modeling and Navigation

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              Source URL: swerl.tudelft.nl

              - Date: 2015-01-15 09:39:22
                38Mapping and modeling Earth Science Data Some notes on typesetting Antoine Rozel and Thorsten Becker University of Southern California, Los Angeles Universita di Roma TRE, June 2012

                Mapping and modeling Earth Science Data Some notes on typesetting Antoine Rozel and Thorsten Becker University of Southern California, Los Angeles Universita di Roma TRE, June 2012

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                Source URL: www-udc.ig.utexas.edu

                - Date: 2012-06-26 16:37:35
                  39Lab Exercise: Modeling subsurface volcanic sources using InSAR data Zhong Lu, Franz Meyer, Carl Tape GEOS 657: Microwave Remote Sensing GEOS 627: Inverse Problems and Parameter Estimation University of Alaska Fairbanks L

                  Lab Exercise: Modeling subsurface volcanic sources using InSAR data Zhong Lu, Franz Meyer, Carl Tape GEOS 657: Microwave Remote Sensing GEOS 627: Inverse Problems and Parameter Estimation University of Alaska Fairbanks L

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                  Source URL: www.giseis.alaska.edu

                  - Date: 2015-04-02 13:54:05
                    40International Food and Agribusiness Management Review Special Issue - Volume 19 Issue A, 2016 Targeting Drought-Tolerant Maize Varieties in Southern Africa: A Geospatial Crop Modeling Approach Using Big Data Kindie Tesfa

                    International Food and Agribusiness Management Review Special Issue - Volume 19 Issue A, 2016 Targeting Drought-Tolerant Maize Varieties in Southern Africa: A Geospatial Crop Modeling Approach Using Big Data Kindie Tesfa

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                    Source URL: www.ifama.org

                    - Date: 2016-06-23 09:53:55