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301

PGM lecture notes: pseudo-likelihood Amir Globerson (modified by David Sontag) Consider a pairwise Markov random field and data {x(m) }m=1...M : 1 Pij θij (xi ,xj ) e Z(θ)

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Source URL: cs.nyu.edu

- Date: 2015-11-17 16:00:53
    302

    A Random Walk Model for Studying Allocation Patterns in Auction-Based Resource Allocation Manos Dramitinos, George D. Stamoulis, and Costas Courcoubetis Network Economics and Services Group (N.E.S.), Department of Infor

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    Source URL: nes.aueb.gr

    - Date: 2013-09-14 08:34:34
      303

      Undergraduate COMS Learning Outcomes Aggregation of data and random sampling of writing assignments ensure that our assessment measures student outcomes rather than faculty input. Data collection will begin in COMS 4800

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      Source URL: www.ohiocommstudies.com

      - Date: 2015-07-17 10:31:19
        304

        no pretenses that our manifest destiny is to civilize and organize wilderness? I think the Chinese word, sharawadgi, a word of questionable origin meaning someth ing like "random," "irregular," or just "flavor of the wil

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        Source URL: asianetwork.org

        - Date: 2014-10-30 11:16:30
          305

          Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams Roy J. Adams University of Massachusetts Amherst, 140 Governors Drv, Amherst, MA 01003

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          Source URL: www.jmlr.org

          - Date: 2016-10-08 19:36:34
            306

            FRIEDRICH-ALEXANDER-UNIVERSITÄT ERLANGEN-NÜRNBERG TECHNISCHE FAKULTÄT • DEPARTMENT INFORMATIK Lehrstuhl für Informatik 10 (Systemsimulation) Solving Stochastic PDEs with Approximate Gaussian Markov Random

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            Source URL: www.infosun.fim.uni-passau.de

            - Date: 2014-12-15 11:49:19
              307

              Fast Mixing Random Walks and Regularity of Incompressible Vector Fields arXiv:1611.09252v1 [stat.CO] 23 NovYasin Abbasi-Yadkori

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              Source URL: arxiv.org

              - Date: 2016-11-28 20:25:49
                308

                Efficient, Feature-based, Conditional Random Field Parsing Jenny Rose Finkel, Alex Kleeman, Christopher D. Manning Department of Computer Science Stanford University Stanford, CA 94305 , akleeman@

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                Source URL: nlp.stanford.edu

                - Date: 2008-04-22 16:52:23
                  309

                  Verifiable Random Functions Silvio Micali Michael Rabiny Abstract

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                  Source URL: people.csail.mit.edu

                  - Date: 2008-02-15 08:58:24
                    310

                    KADISON–SINGER, INTERLACING POLYNOMIALS, AND BEYOND Hot Topics Workshop MSRI, March 9–13, G. W. Anderson, A. Guionnet, and O. Zeitouni, An introduction to random matrices, Cambridge Studies in Advanced Mathe

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                    Source URL: library.msri.org

                    - Date: 2015-03-03 14:46:16
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