Sampling techniques

Results: 436



#Item
31Forum  Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3

Forum Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3

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Source URL: cocosci.berkeley.edu

Language: English - Date: 2014-09-25 19:59:53
321: Measurement and Sampling  Introduction The theme of these notes is that statistics is more than just a compilation of computational techniques. Statistics is not merely pushing numbers through formulas or computers. S

1: Measurement and Sampling Introduction The theme of these notes is that statistics is more than just a compilation of computational techniques. Statistics is not merely pushing numbers through formulas or computers. S

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Source URL: www.sjsu.edu

Language: English - Date: 2016-02-03 00:21:44
    33CrossMark_Color_Stacked_p

    CrossMark_Color_Stacked_p

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    Source URL: cocosci.berkeley.edu

    Language: English - Date: 2014-08-01 18:02:33
    34What are you trying to tell me? A Bayesian model of how toddlers can simultaneously infer property extension and sampling processes Hyowon Gweon, Joshua B. Tenenbaum, and Laura E. Schulz (hyora, jbt, ) Dep

    What are you trying to tell me? A Bayesian model of how toddlers can simultaneously infer property extension and sampling processes Hyowon Gweon, Joshua B. Tenenbaum, and Laura E. Schulz (hyora, jbt, ) Dep

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    Source URL: sll.stanford.edu

    Language: English - Date: 2014-08-12 22:52:25
    35A Simple Sequential Algorithm for Approximating Bayesian Inference Elizabeth Bonawitz, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths {liz b, smdeniso, c annie, gopnik, tom griffiths}@berkeley.edu De

    A Simple Sequential Algorithm for Approximating Bayesian Inference Elizabeth Bonawitz, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths {liz b, smdeniso, c annie, gopnik, tom griffiths}@berkeley.edu De

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    Source URL: ccdlab.rutgers.edu

    Language: English - Date: 2015-03-24 11:58:24
    36Forum  Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3

    Forum Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3

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    Source URL: ccdlab.rutgers.edu

    Language: English - Date: 2015-09-25 18:39:53
    37An Evaluation of Feature Sets and Sampling Techniques for De-identification of Medical Records James Gardner Department of Mathematics and Computer Science Emory University

    An Evaluation of Feature Sets and Sampling Techniques for De-identification of Medical Records James Gardner Department of Mathematics and Computer Science Emory University

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    Source URL: www.tyronegrandison.org

    Language: English - Date: 2013-04-03 13:54:15
      38Exponential Reservoir Sampling for Streaming Language Models  Ashwin Lall Benjamin Van Durme Miles Osborne∗ School of Informatics Mathematics and Computer Science

      Exponential Reservoir Sampling for Streaming Language Models Ashwin Lall Benjamin Van Durme Miles Osborne∗ School of Informatics Mathematics and Computer Science

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      Source URL: www.aclweb.org

      Language: English - Date: 2014-06-12 11:35:03
      39Sampling Techniques for Probabilistic and Deterministic Graphical models Bozhena Bidyuk Vibhav Gogate Rina Dechter

      Sampling Techniques for Probabilistic and Deterministic Graphical models Bozhena Bidyuk Vibhav Gogate Rina Dechter

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      Source URL: www.hlt.utdallas.edu

      Language: English - Date: 2013-04-16 16:01:00
        40Particle Filter Rejuvenation and Latent Dirichlet Allocation Chandler May,† Alex Clemmer‡ and Benjamin Van Durme† † Human Language Technology Center of Excellence Johns Hopkins University ‡

        Particle Filter Rejuvenation and Latent Dirichlet Allocation Chandler May,† Alex Clemmer‡ and Benjamin Van Durme† † Human Language Technology Center of Excellence Johns Hopkins University ‡

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        Source URL: www.aclweb.org

        Language: English - Date: 2014-06-12 11:35:03