Generalization

Results: 621



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51AUTOMATIC ITERATIVE GENERALIZATION FOR LAND COVER DATA Olli Jaakkola Finnish Geodetic Institute Geodeetinrinne 2 (PL 15), FINMasala, Finland

AUTOMATIC ITERATIVE GENERALIZATION FOR LAND COVER DATA Olli Jaakkola Finnish Geodetic Institute Geodeetinrinne 2 (PL 15), FINMasala, Finland

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Source URL: mapcontext.com

- Date: 2008-08-29 22:33:41
    52Generalization of Lambert’s Reflectance Model Michael Oren and Shree K. Nayar Department of Computer Science, Columbia University New York, NYAbstract

    Generalization of Lambert’s Reflectance Model Michael Oren and Shree K. Nayar Department of Computer Science, Columbia University New York, NYAbstract

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    Source URL: www.cs.columbia.edu

    - Date: 2005-07-11 01:19:25
      53We show that any model trained by a stochastic gradient method with few iterations has vanishing generalization error. We prove this by showing the method is algorithmically stable in the sense of Bousquet and Elisseeff.

      We show that any model trained by a stochastic gradient method with few iterations has vanishing generalization error. We prove this by showing the method is algorithmically stable in the sense of Bousquet and Elisseeff.

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      Source URL: mmds-data.org

      - Date: 2016-06-23 15:50:48
        54DATA GENERALIZATION AND ATTRIBUTE CODE SCHEMES The two topics that we are about to take DR. [YlARBLEs up cover data generalization and attribute code schemes.

        DATA GENERALIZATION AND ATTRIBUTE CODE SCHEMES The two topics that we are about to take DR. [YlARBLEs up cover data generalization and attribute code schemes.

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        Source URL: mapcontext.com

        - Date: 2008-08-29 23:08:58
          55� INTERFACE DESIGN AND KNOWLEDGE ACQUISITION FOR CARTOGRAPHIC GENERALIZATION

          � INTERFACE DESIGN AND KNOWLEDGE ACQUISITION FOR CARTOGRAPHIC GENERALIZATION

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          Source URL: mapcontext.com

          - Date: 2008-08-29 22:11:27
            56Polyequilibrium Igal Milchtaich* February 2016 Polyequilibrium is a generalization of Nash equilibrium that is applicable to any strategic game, whether finite or otherwise, and to dynamic games, with perfect or imperfec

            Polyequilibrium Igal Milchtaich* February 2016 Polyequilibrium is a generalization of Nash equilibrium that is applicable to any strategic game, whether finite or otherwise, and to dynamic games, with perfect or imperfec

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            Source URL: faculty.biu.ac.il

            - Date: 2016-02-14 08:53:06
              57SEMINAR ON STATISTICAL MAPPING This seminar, held in two sessions on Monday and Wednesday afternoons, dealt with statistical mapping, map generalization and classification. Papers were presented by JEAN-CLAUDE MULLER, R

              SEMINAR ON STATISTICAL MAPPING This seminar, held in two sessions on Monday and Wednesday afternoons, dealt with statistical mapping, map generalization and classification. Papers were presented by JEAN-CLAUDE MULLER, R

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              Source URL: mapcontext.com

              - Date: 2008-08-29 22:55:27
                58Talker-Specific Generalization of Pragmatic Inferences based on under- and Over-Informative Prenominal Adjective Use

                Talker-Specific Generalization of Pragmatic Inferences based on under- and Over-Informative Prenominal Adjective Use

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                Source URL: kinderlab.bcs.rochester.edu

                - Date: 2016-03-07 10:33:42
                  59Speaker-specific generalization of pragmatic inferences based on prenominal adjectives Amanda Pogue, Chigusa Kurumada, Michael K. Tanenhaus {apogue, ckurumada, mtan}@mail.bcs.rochester.edu Department of Brain and Cogniti

                  Speaker-specific generalization of pragmatic inferences based on prenominal adjectives Amanda Pogue, Chigusa Kurumada, Michael K. Tanenhaus {apogue, ckurumada, mtan}@mail.bcs.rochester.edu Department of Brain and Cogniti

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                  Source URL: kinderlab.bcs.rochester.edu

                  - Date: 2016-03-22 12:49:26
                    60Controlling Generalization and Polyvariance in Partial Deduction of Normal Logic Programs MICHAEL LEUSCHEL, BERN MARTENS, and DANNY DE SCHREYE Katholieke Universiteit Leuven Given a program and some input data, partial

                    Controlling Generalization and Polyvariance in Partial Deduction of Normal Logic Programs MICHAEL LEUSCHEL, BERN MARTENS, and DANNY DE SCHREYE Katholieke Universiteit Leuven Given a program and some input data, partial

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                    Source URL: repository.readscheme.org

                    - Date: 2010-10-22 08:06:01