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281

Completely random measures for modeling power laws in sparse graphs Diana Cai Department of Statistics University of Chicago

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Source URL: stanford.edu

- Date: 2016-03-24 12:21:20
    282

    Understanding Text with Knowledge-Bases and Random Walks Eneko Agirre ixa2.si.ehu.es/eneko IXA NLP Group

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    Source URL: jssp2013.fbk.eu

    - Date: 2013-12-16 13:26:28
      283

      Di¤usive limits on the Penrose tiling A. Telcs October 21, 2009 Abstract In this paper random walks on the Penrose tiling and on its local perturbation are investigated. Heat kernel estimates and the invariance principl

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      Source URL: www.cs.bme.hu

      - Date: 2009-10-21 07:27:46
        284

        In Proceedings of the IEEE International Conference on Robotics and Automation (ICRARapidly-exploring Random Belief Trees for Motion Planning Under Uncertainty Adam Bry, Nicholas Roy Massachusetts Institute of T

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        Source URL: groups.csail.mit.edu

        - Date: 2011-05-03 22:25:59
          285

          Control and Detection of Singlet-Triplet Mixing in a Random Nuclear Field F. H. L. Koppens, et al. Science 309, ); DOI: scienceThe following resources related to this article are available onli

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          Source URL: kouwenhovenlab.tudelft.nl

          - Date: 2013-08-26 05:44:07
            286

            Journal of Machine Learning Research1822 Submitted 9/07; Published 8/08 Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks

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            Source URL: jmlr.csail.mit.edu

            - Date: 2008-08-25 19:37:53
              287

              Neural networks Conditional random fields - context window • Y

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              Source URL: dl.dropboxusercontent.com

                288

                Shape Parameter Estimation for Generalized Gaussian Markov Random Field Models used in MAP Image Wai Ho Pun and Brian D. Jeffs Department of Electrical and Computer Engineering, Brigham Young University 459 CB, Provo, UT

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                Source URL: www.et.byu.edu

                - Date: 2009-10-14 12:22:27
                  289

                  Random Variables and Densities Review: Probability and Statistics • Random variables X represents outcomes or states of world. Instantiations of variables usually in lower case: x

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                  Source URL: cs.nyu.edu

                  - Date: 2012-09-06 23:20:07
                    290

                    RANDOM β-EXPANSIONS WITH DELETED DIGITS KARMA DAJANI AND CHARLENE KALLE Abstract. In this paper we define random β-expansions with digits taken from a given set of real numbers A = {a1 , . . . , am }. We study a genera

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                    Source URL: www.math.uu.nl

                    - Date: 2006-05-17 09:30:33
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