Model selection

Results: 1077



#Item
111

Psychonomic Bulletin & Review 2001, 8 (1), 1-17 Bayes factor of model selection validates FLMP DOMINIC W. MASSARO, MICHAEL M. COHEN, CHRISTOPHER S. CAMPBELL, and TONY RODRIGUEZ

Add to Reading List

Source URL: mambo.ucsc.edu

Language: English - Date: 2015-02-26 02:52:06
    112

    Discussion: Latent variable graphical model selection via convex optimization

    Add to Reading List

    Source URL: pages.stat.wisc.edu

    Language: English - Date: 2013-01-14 19:36:15
      113

      Pattern Selection and Super-patterns in the Bounded Confidence Model E. Ben-Naim1 and A. Scheel2 1 Theoretical Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New MexicoUSA 2

      Add to Reading List

      Source URL: cnls.lanl.gov

      Language: English - Date: 2015-10-06 17:52:50
        114

        MIAMI  TECH  INC  |  FIRE  DAMPER  SELECTION  GUIDE STATIC  SYSTEM  APPLICATION  -­‐  UL555  CLASSIFICATION Model Rating

        Add to Reading List

        Source URL: www.miamitech.com

        Language: English - Date: 2014-05-28 15:34:10
          115Statistical theory / Model selection / Networks / Cluster analysis / Data mining / Geostatistics / Hierarchical clustering / Bayesian network / KullbackLeibler divergence / Akaike information criterion / Entropy / Bayesian information criterion

          Agglomerative Clustering of Bagged Data Using Joint Distributions David Arbour* James Atwood*

          Add to Reading List

          Source URL: kdl.cs.umass.edu

          Language: English - Date: 2013-05-24 08:32:46
          116

          J. R. Statist. Soc. B, Part 1, pp. 49–67 Model selection and estimation in regression with grouped variables Ming Yuan

          Add to Reading List

          Source URL: pages.stat.wisc.edu

          Language: English - Date: 2013-01-03 18:16:42
            117Computational linguistics / Markov models / Automatic identification and data capture / Computer accessibility / Speech recognition / Speech synthesis / Hidden Markov model / KullbackLeibler divergence

            Deep neural network context embeddings for model selection in rich-context HMM synthesis Thomas Merritt1 , Junichi Yamagishi1,2 , Zhizheng Wu1 , Oliver Watts1 , Simon King1 1 The Centre for Speech Technology Research, U

            Add to Reading List

            Source URL: www.cstr.ed.ac.uk

            Language: English - Date: 2015-09-29 11:06:25
            118

            O R I G I NA L A RT I C L E doi:j01619.x MODELING STABILIZING SELECTION: EXPANDING THE ORNSTEIN–UHLENBECK MODEL OF ADAPTIVE EVOLUTION

            Add to Reading List

            Source URL: www.carlboettiger.info

            Language: English - Date: 2016-03-05 22:02:58
              119

              “Flip-Flopping, Primary Visibility and the Selection of Candidates” Marina Agranov ONLINE APPENDIX Appendix A: Basic Election Model Proof of Claim 1. Consider the challenger who is believed to be moderate with probab

              Add to Reading List

              Source URL: people.hss.caltech.edu

              Language: English - Date: 2016-01-29 15:49:23
                120

                Master’s Thesis in Computer Science Model order selection: Criteria, inference strategies and an application to biclustering Patrick Pletscher∗ Machine Learning Group at the

                Add to Reading List

                Source URL: www.pletscher.org

                Language: English - Date: 2014-01-07 01:47:31
                  UPDATE