Inference

Results: 10251



#Item
201

Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods

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Source URL: jmlr.org

- Date: 2015-09-16 19:38:44
    202

    AWARDS & ANNOUNCEMENTS Dr. Harry Crane Probabilistic Foundations, Statistical Inference, and Invariance Principles for Evolving Combinatorial Structures Most scientific conclusions rely on statistical analysis of data c

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    Source URL: statistics.rutgers.edu

    - Date: 2016-02-08 14:02:22
      203

      Higher Accuracy for Bayesian and Frequentist Inference: Large Sample Theory for Small Sample Likelihood

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      Source URL: fisher.utstat.toronto.edu

      - Date: 2012-04-02 13:00:53
        204

        Supplementary Material for: “A Bayesian Framework for Multi-Modality Analysis of Mental Health” This document presents supplementary materials to the submitted paper. It contains: (i) Details about inference procedur

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        Source URL: people.duke.edu

        - Date: 2015-09-05 08:54:07
          205

          Type Inference and Rule Dependencies in Xcerpt Wlodzimierz Drabent1,2 , Artur Wilk1 MayDept. of Computer and Information Science,

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          Source URL: rewerse.net

          - Date: 2008-10-16 09:18:32
            206

            1 fiducial inference Fiducial inference introduced the pivotal inversion that is central to modern confidence theory. Initially this provided confidence bounds but later was

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            Source URL: fisher.utstat.toronto.edu

            - Date: 2012-04-02 13:00:53
              207

              Polymorphism, Subtyping, and Type Inference in MLsub Alan Mycroft tifact OPL *

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              Source URL: www.cl.cam.ac.uk

              - Date: 2016-11-07 17:18:10
                208

                Type Inclusion Constraints and Type Inference Edward L. Wimmers Alexander Aiken IBM Almaden Research Center IBM Almaden Research Center 650 Harry Rd., San Jose, CA 95120

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                Source URL: theory.stanford.edu

                - Date: 2014-08-19 20:12:02
                  209

                  Pragmatic language interpretation as probabilistic inference Noah D. Goodmana,∗, Michael C. Franka a Department of Psychology, Stanford University, 450 Serra Mall, Stanford, CA 94305

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                  Source URL: langcog.stanford.edu

                  - Date: 2016-06-29 17:21:52
                    210

                    Probabilistic Inference Modulo Theories Rodrigo de Salvo Braz SRI International Menlo Park, CA, USA Ciaran O’Reilly

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                    Source URL: www.ai.sri.com

                    - Date: 2016-04-20 14:11:39
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