Logistic regression

Results: 1506



#Item
11High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression Ghislain Durif, Laurent Modolo, Jakob Michaelsson, Jeff Mold, Sophie Lambert-Lacroix, Franck Picard  To cite this version:

High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression Ghislain Durif, Laurent Modolo, Jakob Michaelsson, 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 20:13:22
    12Probabilistic Models for Classification: Logistic Regression Piyush Rai Machine Learning (CS771A) Aug 17, 2016

    Probabilistic Models for Classification: Logistic Regression Piyush Rai Machine Learning (CS771A) Aug 17, 2016

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    Source URL: cse.iitk.ac.in

    - Date: 2016-09-08 06:05:58
      1314. Logistic Regression and Newton’s Method, Advanced Data Analysis 15 March 2011 Reading: Faraway, Chapter 2, omitting sections 2.11 andContents

      14. Logistic Regression and Newton’s Method, Advanced Data Analysis 15 March 2011 Reading: Faraway, Chapter 2, omitting sections 2.11 andContents

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      Source URL: www.stat.cmu.edu

      - Date: 2011-03-15 23:39:04
        14KS_JU@DPIL-FIRE2016:Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model Kamal Sarkar Department of Computer Science and Engineering Jadavpur University, Kolkata, India

        KS_JU@DPIL-FIRE2016:Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model Kamal Sarkar Department of Computer Science and Engineering Jadavpur University, Kolkata, India

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        Source URL: ceur-ws.org

        - Date: 2016-11-18 14:11:21
          15   Pathway	
  Analysis	
  using	
  Logistic	
  Regression	
     Methods for populating the concepts tested The method used to determine the concept types/databases and their assigned genes is speciesdependent.

            Pathway  Analysis  using  Logistic  Regression     Methods for populating the concepts tested The method used to determine the concept types/databases and their assigned genes is speciesdependent.

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          Source URL: lrpath.ncibi.org

          - Date: 2013-02-07 09:27:20
            16Poststratication Into Many Categories Using Hierarchical Logistic Regression Andrew Gelman, Department of Statistics, Columbia University, New York, NYThomas C. Little, Morgan Stanley Dean Witter, New York, NY S

            Poststrati cation Into Many Categories Using Hierarchical Logistic Regression Andrew Gelman, Department of Statistics, Columbia University, New York, NYThomas C. Little, Morgan Stanley Dean Witter, New York, NY S

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            Source URL: www.stat.columbia.edu

            - Date: 2009-03-01 07:46:41
              17Predicting risky behavior in social communities Olivia Simpson Julian McAuley  University of California, San Diego

              Predicting risky behavior in social communities Olivia Simpson Julian McAuley University of California, San Diego

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              Source URL: www.mlgworkshop.org

              Language: English - Date: 2016-08-14 01:22:56
              18Department of Public Health University of Copenhagen Advanced Epidemiology and Biostatistics Fall 2016

              Department of Public Health University of Copenhagen Advanced Epidemiology and Biostatistics Fall 2016

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              Source URL: mph.ku.dk

              Language: English - Date: 2016-05-03 06:59:32
              19Journal of Finance and Accountancy  An Analytical Approach To Detecting Insurance Fraud Using Logistic Regression J. Holton Wilson Central Michigan University

              Journal of Finance and Accountancy An Analytical Approach To Detecting Insurance Fraud Using Logistic Regression J. Holton Wilson Central Michigan University

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              Source URL: www.aabri.com

              Language: English - Date: 2015-03-01 15:30:22
              20Calculating SEs for logit-adjusted mortality rates various ways

              Calculating SEs for logit-adjusted mortality rates various ways

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              Source URL: www.qualityindicators.ahrq.gov

              Language: English - Date: 2013-11-24 13:45:28