Margin classifier

Results: 125



#Item
21Multiclass Boosting with Repartitioning  Ling Li Learning Systems Group, California Institute of Technology, Pasadena, CA 91125, USA  Abstract

Multiclass Boosting with Repartitioning Ling Li Learning Systems Group, California Institute of Technology, Pasadena, CA 91125, USA Abstract

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Source URL: www.work.caltech.edu

Language: English - Date: 2006-04-25 06:05:42
22Support Vector Machines for Differential Prediction Finn Kuusisto1 , Vitor Santos Costa2 , Houssam Nassif3 , Elizabeth Burnside1 , David Page1 , and Jude Shavlik1 1

Support Vector Machines for Differential Prediction Finn Kuusisto1 , Vitor Santos Costa2 , Houssam Nassif3 , Elizabeth Burnside1 , David Page1 , and Jude Shavlik1 1

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Source URL: pages.cs.wisc.edu

Language: English - Date: 2014-10-05 08:42:11
23S.A. Solla, T.K. Leen and K.-R. M¨uller (eds.), 547–553, MIT PressLarge Margin DAGs for Multiclass Classification John C. Platt Microsoft Research

S.A. Solla, T.K. Leen and K.-R. M¨uller (eds.), 547–553, MIT PressLarge Margin DAGs for Multiclass Classification John C. Platt Microsoft Research

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Source URL: research.microsoft.com

Language: English - Date: 2004-11-30 20:32:07
24Mach Learn manuscript No. (will be inserted by the editor) Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning Bharath Hariharan · S. V. N. Vishwanathan ·

Mach Learn manuscript No. (will be inserted by the editor) Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning Bharath Hariharan · S. V. N. Vishwanathan ·

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Source URL: www.stat.purdue.edu

Language: English - Date: 2011-09-02 09:44:19
25Ordinal Regression by Extended Binary Classification  Hsuan-Tien Lin Learning Systems Group California Institute of Technology

Ordinal Regression by Extended Binary Classification Hsuan-Tien Lin Learning Systems Group California Institute of Technology

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Source URL: www.work.caltech.edu

Language: English - Date: 2008-01-21 20:53:09
26Journal of Machine Learning Research  Submitted 7/04; Revised 8/06; Published 3/07 Boosted Classification Trees and Class Probability/Quantile Estimation

Journal of Machine Learning Research Submitted 7/04; Revised 8/06; Published 3/07 Boosted Classification Trees and Class Probability/Quantile Estimation

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Source URL: stat.wharton.upenn.edu

Language: English - Date: 2007-03-17 19:08:28
27Microsoft Word - cikm0902-liu.doc

Microsoft Word - cikm0902-liu.doc

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Source URL: infolab.northwestern.edu

Language: English - Date: 2011-04-14 17:04:51
28Boosting for Fast Face Recognition Guo-Dong Guo and Hong-Jiang Zhang Microsoft Research China 5F, Beijing Sigma Center No. 49, Zhichun Road, Haidian District Beijing, P. R. China

Boosting for Fast Face Recognition Guo-Dong Guo and Hong-Jiang Zhang Microsoft Research China 5F, Beijing Sigma Center No. 49, Zhichun Road, Haidian District Beijing, P. R. China

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Source URL: www.face-rec.org

Language: English - Date: 2007-07-01 02:44:40
29A Course in Machine Learning Hal Daumé III  5 | B EYOND B INARY C LASSIFICATION

A Course in Machine Learning Hal Daumé III 5 | B EYOND B INARY C LASSIFICATION

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Source URL: ciml.info

Language: English - Date: 2014-09-24 16:08:38
30Interpolants as Classifiers? Rahul Sharma1 , Aditya V. Nori2 , and Alex Aiken1 1 Stanford University, {sharmar, aiken}@stanford.edu Microsoft Research India,

Interpolants as Classifiers? Rahul Sharma1 , Aditya V. Nori2 , and Alex Aiken1 1 Stanford University, {sharmar, aiken}@stanford.edu Microsoft Research India,

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Source URL: theory.stanford.edu

Language: English - Date: 2012-04-12 00:53:40