Feature selection

Results: 571



#Item
131

Result Analysis of the NIPS 2003 Feature Selection Challenge Isabelle Guyon ClopiNet Berkeley, CA 94708, USA

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Source URL: clopinet.com

Language: English - Date: 2005-01-07 14:25:34
    132Bayesian statistics / Naive Bayes classifier / Learning classifier system / Classifier / Feature selection / Statistics / Statistical classification / Machine learning

    Verifying the fully “Laplacianised” posterior Naïve Bayesian approach and more

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    Source URL: www.jcheminf.com

    Language: English
    133Automatic image annotation / Dimension reduction / Content-based image retrieval / Feature selection / Caltech 101 / Computer vision / Artificial intelligence / Artificial intelligence applications

    Deep Representations and Codes for Image Auto-Annotation Csaba Szepesv´ari Department of Computing Science University of Alberta Edmonton, AB, Canada

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    Source URL: www.cs.toronto.edu

    Language: English - Date: 2013-12-26 22:59:51
    134Model selection / Econometrics / Data analysis / Cross-validation / Training set / Linear regression / Least squares / Lasso / Test set / Statistics / Machine learning / Regression analysis

    Homework Assignment 1 The purpose of this homework is to apply linear regression on a real data set. We will consider three ways of improving prediction accuracy: feature selection, ridge regression and the lasso. We wil

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    Source URL: www.timvanerven.nl

    Language: English - Date: 2014-11-14 05:53:12
    135

    Feature Selection using One Class SVM: A New Perspective Yamuna Prasad ∗ Department of CSE I.I.T. Delhi

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    Source URL: ai.stanford.edu

    - Date: 2013-12-07 23:14:37
      136

      Variable Selection for Model-Based Clustering Adrian E. R AFTERY and Nema D EAN We consider the problem of variable or feature selection for model-based clustering. The problem of comparing two nested subsets of variable

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      Source URL: www.stat.washington.edu

      - Date: 2007-03-19 17:22:58
        137

        Artificial Intelligence Module 2 Feature Selection Andrea Torsello ●

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        Source URL: www.dsi.unive.it

        - Date: 2012-04-11 16:32:51
          138

              Best Full Length Feature: Jury Selection   

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          Source URL: mglff.com

          - Date: 2015-05-15 13:26:19
            139

            Feature Selection with the CLOP Package Isabelle Guyon ETH Z¨ urich, Switzerland

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            Source URL: clopinet.com

            Language: English - Date: 2006-05-30 16:32:03
              140

              Boosted Band Ratio Feature Selection for Hyperspectral Image Classification Zhouyu Fu Terry Caelli Nianjun Liu Antonio Robles-Kelly NICTA∗, RSISE Bldg. 115, Australian National University, Canberra, ACT 0200, Australia

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              Source URL: users.cecs.anu.edu.au

              Language: English - Date: 2007-06-12 05:43:38
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