Latent learning

Results: 355



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1

Self-Paced Learning for Latent Variable Models M. Pawan Kumar Ben Packer Daphne Koller Computer Science Department

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Source URL: robotics.stanford.edu

Language: English - Date: 2010-10-31 15:19:37
    2

    Learning Linear Bayesian Networks with Latent Variables Animashree Anandkumar Department of EECS, University of California, Irvine

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    Source URL: proceedings.mlr.press

    Language: English - Date: 2018-07-16 03:38:06
      3

      Journal of Machine Learning ResearchSubmitted 8/15; Revised 6/16; PublishedIntegrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses

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      Source URL: jmlr.csail.mit.edu

      Language: English - Date: 2017-07-22 15:42:28
        4

        Learning Montages of Transformed Latent Images as Representations of Obje ts that Change in Appearan e Chris Pal1 , Brendan J. Frey2 , and Nebojsa Joji 3 1

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        Source URL: www.professeurs.polymtl.ca

        Language: English - Date: 2009-02-23 15:09:32
          5

          Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding Huayan Wang1 , Stephen Gould2 , and Daphne Koller1 1 2

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          Source URL: robotics.stanford.edu

          Language: English - Date: 2010-10-31 15:17:29
            6

            Journal of Machine Learning Research1238 Submitted 4/08; Revised 11/08; Published 6/09 The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models

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            Source URL: www.jmlr.org

            - Date: 2009-06-27 15:32:29
              7

              Learning the Dependency Structure of Latent Factors Yunlong He⇤ Georgia Institute of Technology Yanjun Qi

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              Source URL: www.cs.cmu.edu

              - Date: 2014-05-08 16:13:39
                8

                Journal of Machine Learning Research1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei

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                Source URL: www.jmlr.org

                - Date: 2004-08-31 14:18:26
                  9

                  Learning Latent Personas of Film Characters David Bamman Brendan O’Connor Noah A. Smith School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA {dbamman,brenocon,nasmith}@cs.cmu.edu

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                  Source URL: www.anthology.aclweb.org

                  - Date: 2013-07-25 09:24:47
                    10

                    Supplementary Material for Flexible Modeling of Latent Task Structures in Multitask Learning In this supplementary material, we derive the variational lower bound for our model and derive the update equation for all the

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                    Source URL: people.duke.edu

                    - Date: 2012-06-11 19:06:13
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