Polynomial kernel

Results: 37



#Item
11Genome Informatics 13: 51–A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles

Genome Informatics 13: 51–A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles

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Source URL: www.jsbi.org

Language: English - Date: 2002-12-09 05:53:38
12A 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
13ASYMPTOTICALLY FAST POLYNOMIAL MATRIX ALGORITHMS FOR MULTIVARIABLE SYSTEMS Claude-Pierre Jeannerod and Gilles Villard ´ CNRS, INRIA, Laboratoire LIP, Ecole normale sup´erieure de Lyon

ASYMPTOTICALLY FAST POLYNOMIAL MATRIX ALGORITHMS FOR MULTIVARIABLE SYSTEMS Claude-Pierre Jeannerod and Gilles Villard ´ CNRS, INRIA, Laboratoire LIP, Ecole normale sup´erieure de Lyon

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Source URL: perso.ens-lyon.fr

Language: English - Date: 2006-04-03 09:17:35
14JMLR: Workshop and Conference Proceedings vol 40:1–17, 2015  Optimum Statistical Estimation with Strategic Data Sources Yang Cai∗  CAI @ CS . MCGILL . CA

JMLR: Workshop and Conference Proceedings vol 40:1–17, 2015 Optimum Statistical Estimation with Strategic Data Sources Yang Cai∗ CAI @ CS . MCGILL . CA

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Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:35
15A Kernel-Based Learning Approach to Ad Hoc Sensor Network Localization XUANLONG NGUYEN, MICHAEL I. JORDAN, and BRUNO SINOPOLI University of California, Berkeley  We show that the coarse-grained and fine-grained localizat

A Kernel-Based Learning Approach to Ad Hoc Sensor Network Localization XUANLONG NGUYEN, MICHAEL I. JORDAN, and BRUNO SINOPOLI University of California, Berkeley We show that the coarse-grained and fine-grained localizat

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Source URL: dept.stat.lsa.umich.edu

Language: English - Date: 2005-11-14 01:57:46
16Identification of Songbird Species in Field Recordings  Hsiao-Yu Tung  htung

Identification of Songbird Species in Field Recordings Hsiao-Yu Tung htung

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Source URL: sfish0101.bitbucket.org

Language: English - Date: 2016-03-17 01:27:45
17kernlab – An S4 Package for Kernel Methods in R Alexandros Karatzoglou Alex Smola  Technische Universit¨

kernlab – An S4 Package for Kernel Methods in R Alexandros Karatzoglou Alex Smola Technische Universit¨

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Source URL: mran.microsoft.com

Language: English - Date: 2016-03-29 08:14:54
18Electric Guitar Pickups Recognition Warren Jonhow Lee and Yi-Chun Chen SVM with polynomial kernel, which is {1, x, x2, x3}, is also tested. The result is shown in following two plots. It illustrates that penalty does not

Electric Guitar Pickups Recognition Warren Jonhow Lee and Yi-Chun Chen SVM with polynomial kernel, which is {1, x, x2, x3}, is also tested. The result is shown in following two plots. It illustrates that penalty does not

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Source URL: cs229.stanford.edu

Language: English - Date: 2015-12-14 19:07:14
    19L1 NORMS OF PRODUCTS OF SINES JORDAN BELL Abstract. Product of sines. Summary of paper and motivate it. Partly a survey of Lp norms of trigonometric polynomials and exponential sums. There are no introductory surveys of

    L1 NORMS OF PRODUCTS OF SINES JORDAN BELL Abstract. Product of sines. Summary of paper and motivate it. Partly a survey of Lp norms of trigonometric polynomials and exponential sums. There are no introductory surveys of

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    Source URL: individual.utoronto.ca

    Language: English - Date: 2014-04-03 12:54:49
    20Journal of Machine Learning Research1490  Submitted 8/09; Revised 1/10; Published 4/10 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM

    Journal of Machine Learning Research1490 Submitted 8/09; Revised 1/10; Published 4/10 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM

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    Source URL: www.csie.ntu.edu.tw

    Language: English - Date: 2010-08-15 03:30:50