Margin classifier

Results: 125



#Item
1Supervised Pattern Classification Using Optimum-Path Forest Jo˜ao Paulo Papa and Alexandre Xavier Falc˜ao University of Campinas Institute of Computing Campinas, S˜ao Paulo - Brazil {papa.joaopaulo,alexandre.falcao}@g

Supervised Pattern Classification Using Optimum-Path Forest Jo˜ao Paulo Papa and Alexandre Xavier Falc˜ao University of Campinas Institute of Computing Campinas, S˜ao Paulo - Brazil {papa.joaopaulo,alexandre.falcao}@g

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Source URL: www.matmidia.mat.puc-rio.br

Language: English - Date: 2009-12-09 18:55:18
2A Visual Approach for Interactive Co-Training Qi Han Weimeng Zhu  Florian Heimerl

A Visual Approach for Interactive Co-Training Qi Han Weimeng Zhu Florian Heimerl

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Source URL: poloclub.gatech.edu

Language: English - Date: 2016-07-22 15:05:19
3A User’s Guide to Support Vector Machines Asa Ben-Hur Department of Computer Science Colorado State University  Jason Weston

A User’s Guide to Support Vector Machines Asa Ben-Hur Department of Computer Science Colorado State University Jason Weston

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Source URL: pyml.sourceforge.net

Language: English - Date: 2008-06-02 17:29:26
4Classification of Passes in Football Matches using Spatiotemporal Data Michael Horton Joachim Gudmundsson

Classification of Passes in Football Matches using Spatiotemporal Data Michael Horton Joachim Gudmundsson

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Source URL: www.large-scale-sports-analytics.org

Language: English - Date: 2016-03-23 17:27:31
5A Model of Zero-Shot Learning of Spoken Language Understanding Majid Yazdani Computer Science Department University of Geneva

A Model of Zero-Shot Learning of Spoken Language Understanding Majid Yazdani Computer Science Department University of Geneva

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Source URL: majid.yazdani.me

Language: English - Date: 2015-08-19 06:58:41
6How Boosting the Margin Can Also Boost Classifier Complexity  Lev Reyzin  Yale University, Department of Computer Science, 51 Prospect Street, New Haven, CT 06520, USA Robert E. Schapire

How Boosting the Margin Can Also Boost Classifier Complexity Lev Reyzin Yale University, Department of Computer Science, 51 Prospect Street, New Haven, CT 06520, USA Robert E. Schapire

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Source URL: rob.schapire.net

Language: English - Date: 2015-07-13 19:42:30
    7How Boosting the Margin Can Also Boost Classifier Complexity  Lev Reyzin  Yale University, Department of Computer Science, 51 Prospect Street, New Haven, CT 06520, USA Robert E. Schapire

    How Boosting the Margin Can Also Boost Classifier Complexity Lev Reyzin Yale University, Department of Computer Science, 51 Prospect Street, New Haven, CT 06520, USA Robert E. Schapire

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    Source URL: homepages.math.uic.edu

    Language: English - Date: 2014-09-30 15:06:52
      8How Boosting the Margin Can Also Boost Classifier Complexity ICML ’06  Lev Reyzin

      How Boosting the Margin Can Also Boost Classifier Complexity ICML ’06 Lev Reyzin

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      Source URL: www.levreyzin.com

      Language: English - Date: 2009-10-27 11:25:10
      9Surrogate Functions for Maximizing Precision at the Top  Purushottam Kar Microsoft Research, INDIA  T- PURKAR @ MICROSOFT. COM

      Surrogate Functions for Maximizing Precision at the Top Purushottam Kar Microsoft Research, INDIA T- PURKAR @ MICROSOFT. COM

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      Source URL: jmlr.org

      Language: English - Date: 2015-09-16 19:38:46
      10Boosting on a Budget: Sampling for Feature-Efficient Prediction  Lev Reyzin Georgia Institute of Technology, 266 Ferst Drive, Atlanta, GA 30332, USA  Abstract

      Boosting on a Budget: Sampling for Feature-Efficient Prediction Lev Reyzin Georgia Institute of Technology, 266 Ferst Drive, Atlanta, GA 30332, USA Abstract

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      Source URL: www.levreyzin.com

      Language: English - Date: 2011-05-05 13:47:57