Support vector machine

Results: 2011



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11Despite the popularity and superior performance of Gaussian-kernel support vector machine (SVM), the two hyperparameters sigma (scale) and C (tradeoff) remain hard to be tuned. Many techniques have been developed to addr

Despite the popularity and superior performance of Gaussian-kernel support vector machine (SVM), the two hyperparameters sigma (scale) and C (tradeoff) remain hard to be tuned. Many techniques have been developed to addr

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Source URL: mmds-data.org

- Date: 2016-06-23 15:50:48
    12

    Performance Improvement of Support Vector Machine Technique for Monthly Rainfall Forecasting 1MOSLEM BORJI, 2ALIREZA MOGHADDAM NIA, 3Dawei Han 1 MSc. Student of Watershed Management Engineering, Faculty of Natural Resour

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    Source URL: www.gcos-science.org

    - Date: 2016-02-29 15:08:12
      13Support Vector Machine The Kernel Trick Ling Zhu  Fall 2013

      Support Vector Machine The Kernel Trick Ling Zhu Fall 2013

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      Source URL: www.pstat.ucsb.edu

      - Date: 2014-11-07 15:19:02
        14Support Vector Machine The Linearly Separable Case Ling Zhu  Fall 2013

        Support Vector Machine The Linearly Separable Case Ling Zhu Fall 2013

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        Source URL: www.pstat.ucsb.edu

        - Date: 2014-11-07 15:19:46
          15– the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT

          – the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT

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          Source URL: wp.nyu.edu

          Language: English - Date: 2016-08-16 16:20:31
          16Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains Abstract We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in

          Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains Abstract We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in

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          Source URL: cl.indiana.edu

          Language: English - Date: 2011-07-02 16:22:38
          17支持向量机通俗导论(理解 SVM 的三层境界) July、pluskid ;致谢:白石、JerryLead 出处:结构之法算法之道 blog。 前言 动笔写这个支持向量机 (support vector machine) 是费了

          支持向量机通俗导论(理解 SVM 的三层境界) July、pluskid ;致谢:白石、JerryLead 出处:结构之法算法之道 blog。 前言 动笔写这个支持向量机 (support vector machine) 是费了

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          Source URL: raw.githubusercontent.com

          Language: Chinese
            18original article  http://www.kidney-international.org & 2006 International Society of Nephrology  A novel approach for accurate prediction of

            original article http://www.kidney-international.org & 2006 International Society of Nephrology A novel approach for accurate prediction of

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            Source URL: eceweb.ucsd.edu

            Language: English - Date: 2015-07-31 19:00:24
            19IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING  1 Multi-Dimensional Classification with Super-Classes Jesse Read, Concha Bielza, Member, IEEE, Pedro Larra˜naga, Member, IEEE,

            IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Multi-Dimensional Classification with Super-Classes Jesse Read, Concha Bielza, Member, IEEE, Pedro Larra˜naga, Member, IEEE,

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            Source URL: users.ics.aalto.fi

            Language: English - Date: 2014-02-24 06:09:18
            20Efficient and Robust Automated Machine Learning  Matthias Feurer Aaron Klein Katharina Eggensperger Jost Tobias Springenberg

            Efficient and Robust Automated Machine Learning Matthias Feurer Aaron Klein Katharina Eggensperger Jost Tobias Springenberg

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            Source URL: papers.nips.cc

            Language: English - Date: 2016-01-30 21:34:03