Inference

Results: 10251



#Item
241

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
    242

    Copyright Cambridge University PressOn-screen viewing permitted. Printing not permitted. http://www.cambridge.orgYou can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/macka

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    Source URL: www.inference.phy.cam.ac.uk

    - Date: 2005-05-21 12:29:13
      243

      Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons Dejan Pecevski*, Lars Buesing¤, Wolfgang Maass Institute for Theoretical Computer Science, Graz University o

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      Source URL: apophenia.wdfiles.com

      - Date: 2012-09-17 05:21:48
        244

        Adversarially Learned Inference arXiv:1606.00704v1 [stat.ML] 2 Jun 2016 Vincent Dumoulin∗

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        Source URL: arxiv.org

        - Date: 2016-06-02 20:20:35
          245

          Semi-Supervised Affinity Propagation with Instance-Level Constraints Inmar E. Givoni, Brendan J. Frey Probabilistic and Statistical Inference Group University of Toronto

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          Source URL: www.psi.toronto.edu

          - Date: 2009-09-01 17:45:23
            246

            bdrmap: Inference of Borders Between IP Networks Matthew Luckie Amogh Dhamdhere Bradley Huffaker

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            Source URL: www.caida.org

            - Date: 2016-11-17 18:49:14
              247

              Models and Inference for Prefix-Constrained Machine Translation Joern Wuebker, Spence Green, John DeNero, Saša Hasan Lilt, Inc.

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              Source URL: aclweb.org

              - Date: 2016-08-01 10:37:34
                248

                Variational Inference for Latent Variable Modelling of Correlation Structure Andrew G. Wilson Carnegie Mellon University

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                Source URL: www.cs.cmu.edu

                - Date: 2015-03-10 02:20:38
                  249

                  Focused labeled proof systems for modal logic Dale Miller and Marco Volpe ´ Inria and LIX, Ecole Polytechnique, France Abstract. Focused proofs are sequent calculus proofs that group inference rules into alternating pos

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                  Source URL: www.lix.polytechnique.fr

                  - Date: 2015-11-06 10:54:47
                    250

                    Types and Type Inference Mooly Sagiv Slides by Kathleen Fisher and John Mitchell Reading: “Concepts in Programming Languages”,

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                    Source URL: www.cs.tau.ac.il

                    - Date: 2014-05-11 15:49:09
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