Least squares

Results: 2529



#Item
291

INTERPRETATION OF POSITRON LIFETIME SPECTRA VIA LEAST SQUARES PRONY METHOD A.I. Kul’ment’ev∗ Institute of Applied Physics NAS of Ukraine, 40000, Sumy, Ukraine (Received February 11, 2013)

Add to Reading List

Source URL: vant.kipt.kharkov.ua

Language: English - Date: 2013-06-19 10:36:04
    292

    Global Search Strategies for Solving Multilinear Least-squares Problems Mats Anderssona Oleg Burdakovb,1 Hans Knutssona Spartak Zikrinb

    Add to Reading List

    Source URL: liu.diva-portal.org

    - Date: 2012-06-25 05:08:29
      293

      3396 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 52, NO. 8, AUGUST 2006 Information Theory and Mixing Least-Squares Regressions

      Add to Reading List

      Source URL: www.stat.yale.edu

      - Date: 2008-03-22 02:30:12
        294

        Neural Networks, vol.24, no.2, pp.183–198, Direct Density-ratio Estimation with Dimensionality Reduction via Least-squares Hetero-distributional Subspace Search Masashi Sugiyama

        Add to Reading List

        Source URL: www.ms.k.u-tokyo.ac.jp

        - Date: 2011-12-11 08:29:21
          295

          Least Squares Superposition Codes of Moderate Dictionary Size, Reliable at Rates up to Capacity Andrew R Barron, Antony Joseph Department of Statistics, Yale University Email: , antony.joseph@yale.e

          Add to Reading List

          Source URL: www.stat.yale.edu

          Language: English - Date: 2010-06-04 20:17:22
            296

            Temperature Retrieval Experiments using a New Regression Tool: Least Squares Support Vector Machines

            Add to Reading List

            Source URL: cimss.ssec.wisc.edu

            Language: English - Date: 2005-10-24 16:37:21
              297

              MEMORANDUM NoHOW IS GENERALIZED LEAST SQUARES RELATED TO WITHIN AND BETWEEN ESTIMATORS IN UNBALANCED PANEL DATA?

              Add to Reading List

              Source URL: www.sv.uio.no

              Language: English
                298

                Supplemental Material 1. Why DISP estimation requires that dQmax  4 (One-dimensional case) The Least Squares (LS) estimate of the expectation value E(x) of a scalar random variable x is simply the average of its n obs

                Add to Reading List

                Source URL: www.atmos-meas-tech.net

                Language: English - Date: 2014-12-03 12:04:55
                  299

                  SGN-21006, ADVANCED SIGNAL PROCESSING Exercise Set 4 Ionut Schiopu October 1, 2014 Exercise I. Least mean squares (LMS) algorithm. The implementation of the LMS algorithm, presented in Leture 5 (page 3), is:

                  Add to Reading List

                  Source URL: www.cs.tut.fi

                  Language: English - Date: 2014-10-01 04:18:40
                    300

                    Least Squares Revisited • In slide set 4 we studied the Least Squares. • Together with the Maximum Likelihood, it is by far the most widely used estimation method.

                    Add to Reading List

                    Source URL: www.cs.tut.fi

                    Language: English - Date: 2013-03-19 07:08:56
                      UPDATE