Approximation

Results: 2157



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81

5 Prior-independent Approximation In the last two chapters we discussed mechanism that performed well for a given Bayesian prior distribution. Assuming the existence of such a Bayesian prior is natural when deriving mech

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Source URL: jasonhartline.com

- Date: 2017-07-28 06:04:18
    82

    A Fast Approximation of the Bilateral Filter using a Signal Processing Approach Sylvain Paris and Fr´edo Durand Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory

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    Source URL: groups.csail.mit.edu

    - Date: 2006-05-09 13:03:14
      83

      Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Haim Avron 1 Michael Kapralov 2 Cameron Musco 3 Christopher Musco 3 Ameya Velingker 2 Amir Zandieh 2 Abstract

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      Source URL: proceedings.mlr.press

      - Date: 2018-02-06 15:06:57
        84

        ARMOR: Towards Restricted Approximation with A Worst-Case Guarantee Sihang Liu Kevin Angstadt Mike Ferdman

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        Source URL: approximate.computer

        - Date: 2018-03-15 11:40:23
          85

          9 Approximation for Multi-dimensional and Non-linear Preferences Approximation for multi-dimensional and non-linear agents is more urgent than for single-dimensional linear agents. For single-dimensional linear agents, C

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          Source URL: jasonhartline.com

          - Date: 2017-07-28 06:04:18
            86

            Computationally Efficient Nystr¨om Approximation using Fast Transforms Si Si? Cho-Jui Hsieh† Inderjit S. Dhillon? ?

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            Source URL: www.cs.utexas.edu

            - Date: 2016-06-17 17:50:55
              87

              Journal of Machine Learning ResearchSubmitted 1/15; Revised 2/17; Published 3/17 Memory Efficient Kernel Approximation Si Si∗

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              Source URL: jmlr.org

              - Date: 2017-04-12 14:40:49
                88

                Can you turn a polynomial equation into a three-dimensional shape? The shape in purple is a polygonal approximation of the filled Julia set of the polynomial equation f(x)=x2+¼. The shape in blue is the “cap” that,

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                Source URL: simonsfoundation.s3.amazonaws.com

                - Date: 2017-01-04 16:41:30
                  89

                  Advanced Approximation Algorithms (CMU 18-854B, SpringLecture 2: LP Relaxations, Randomized Rounding Jan 17, 2008

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                  Source URL: www.cs.cmu.edu

                  - Date: 2008-01-21 16:09:45
                    90

                    ESTIMATING THE TENSOR OF CURVATURE OF A SURFACE FROM A POLYHEDRAL APPROXIMATION Gabriel Taubin IBM T.J.Watson Research Center P.O.Box 704, Yorktown Heights, NY 10598

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                    Source URL: mesh.brown.edu

                    - Date: 2004-02-12 11:37:19
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