Matrix

Results: 18461



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241

Faster Principal Component Regression and Stable Matrix Chebyshev Approximation

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Source URL: proceedings.mlr.press

- Date: 2018-02-06 15:06:57
    242

    SIAM J. MATRIX ANAL. APPL. Vol. 20, No. 3, pp. 720–755 c 1999 Society for Industrial and Applied Mathematics °

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    Source URL: crd-legacy.lbl.gov

    - Date: 2007-06-29 18:56:22
      243

      E:WorkareaResearchResultsSeDuMi_test2 obust_ranksmooth_robust_matrix.eps

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      Source URL: www.di.ens.fr

        244

        E:WorkareaResearchResultsSeDuMi_test2 obust_ranksmooth_robust_matrix.eps

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        Source URL: www.di.ens.fr

          245

          1 Revisiting Online Autotuning for Sparse-Matrix Vector Multiplication Kernels on Next-Generation Architectures Simon Garcia De Gonzalo, Simon D. Hammond, Christian R. Trott, and Wen-Mei Hwu

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          Source URL: impact.crhc.illinois.edu

          - Date: 2017-12-15 20:53:35
            246

            Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis Ghislain Durif, Laurent Modolo, Jeff Mold, Sophie Lambert-Lacroix, Franck Picard To cite this version:

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            Source URL: hal.archives-ouvertes.fr

            - Date: 2018-03-28 09:53:21
              247

              MORE DETERMINANTS AND INVERSES 5 minute review. Remind students how to compute determinants for any n × n matrix using any row/column. Remind students how to compute the cofactor Cij = (−1)i+j det(Mij ), where Mij is

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              Source URL: engmaths.group.shef.ac.uk

              - Date: 2017-03-15 13:45:45
                248

                An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization Pierre Alquier* & Benjamin Guedj† August 23, 2016 Abstract

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                Source URL: bguedj.github.io

                - Date: 2018-03-21 04:06:23
                  249

                  letters to nature mantle, and would also provide the large shear strains necessary for interconnection and thus percolation of metallic melts in a solid silicate matrix. Our experimental results show that, in a dynamic e

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                  Source URL: www.tiem.utk.edu

                  - Date: 2008-01-09 12:00:52
                    250

                    MATRICES: MORE INVERSES 5 minute review. Remind students how to compute the cofactors Aij = (−1)i+j det(Mij ), where Mij is the matrix obtained from A by deleting row i and column j. The adjoint of A is then defined t

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                    Source URL: engmaths.group.shef.ac.uk

                    - Date: 2017-08-24 06:17:44
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