Machine learning algorithms

Results: 467



#Item
1212014 22nd International Conference on Pattern Recognition  Behavioural biometrics using electricity load profiles M. Bicego, F. Recchia, A. Farinelli  S. D. Ramchurn

2014 22nd International Conference on Pattern Recognition Behavioural biometrics using electricity load profiles M. Bicego, F. Recchia, A. Farinelli S. D. Ramchurn

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Source URL: profs.sci.univr.it

Language: English - Date: 2015-06-16 09:42:08
122Environmental Data Mining and Modelling Based on Machine Learning Algorithms and Geostatistics M. Kanevskia, R. Parkinb, A. Pozdnukhovb, V. Timoninb, M. Maignanc, B. Yatsalod, S. Canue a  b

Environmental Data Mining and Modelling Based on Machine Learning Algorithms and Geostatistics M. Kanevskia, R. Parkinb, A. Pozdnukhovb, V. Timoninb, M. Maignanc, B. Yatsalod, S. Canue a b

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Source URL: www.iemss.org

- Date: 2011-11-23 04:44:31
    123Introduction to Algorithms and Informatics Machine Learning   Kyoto University - Introduction to Algorithms and Informatics

    Introduction to Algorithms and Informatics Machine Learning Kyoto University - Introduction to Algorithms and Informatics

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    Source URL: www.iip.ist.i.kyoto-u.ac.jp

    - Date: 2011-05-18 03:04:45
      124Sparse methods for machine learning Theory and algorithms Francis Bach Guillaume Obozinski Sierra project-team, INRIA - Ecole Normale Sup´erieure

      Sparse methods for machine learning Theory and algorithms Francis Bach Guillaume Obozinski Sierra project-team, INRIA - Ecole Normale Sup´erieure

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      Source URL: www.gdr-mascotnum.fr

      Language: English - Date: 2012-03-23 18:14:14
        125COMPUTER SCIENCE PhD Program   www.ttic.edu  Machine Learning Algorithms & Complexity

        COMPUTER SCIENCE PhD Program   www.ttic.edu  Machine Learning Algorithms & Complexity

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        Source URL: www.ttic.edu

        - Date: 2011-11-10 12:51:40
          126Sparse methods for machine learning Theory and algorithms Francis Bach Guillaume Obozinski Willow project, INRIA - Ecole Normale Sup´erieure

          Sparse methods for machine learning Theory and algorithms Francis Bach Guillaume Obozinski Willow project, INRIA - Ecole Normale Sup´erieure

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          Source URL: www.di.ens.fr

          Language: English - Date: 2010-09-20 01:26:10
            127Tunably Decentralized Algorithms for Cooperative Target Observation Sean Luke   Keith Sullivan

            Tunably Decentralized Algorithms for Cooperative Target Observation Sean Luke Keith Sullivan

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            Source URL: cs.gmu.edu

            Language: English - Date: 2009-11-12 11:44:04
            128Uncertainty Handling in Model Selection for Support Vector Machines Tobias Glasmachers and Christian Igel Institut f¨ ur Neuroinformatik, Ruhr-Universit¨ at Bochum, Germany

            Uncertainty Handling in Model Selection for Support Vector Machines Tobias Glasmachers and Christian Igel Institut f¨ ur Neuroinformatik, Ruhr-Universit¨ at Bochum, Germany

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            Source URL: image.diku.dk

            Language: English - Date: 2011-08-26 07:00:39
            129Supplementary Data 0.1 Supplementary tables for 10-fold cross-validation  Supplementary Tables 1–4 give results averaged over 10 trials of 10-fold crossvalidation for each of the 4 benchmark data sets. Standard deviati

            Supplementary Data 0.1 Supplementary tables for 10-fold cross-validation Supplementary Tables 1–4 give results averaged over 10 trials of 10-fold crossvalidation for each of the 4 benchmark data sets. Standard deviati

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            Source URL: cbio.ensmp.fr

            Language: English - Date: 2009-06-12 06:33:48
            130Coverage Optimized Active Learning for k-NN Classifiers

            Coverage Optimized Active Learning for k-NN Classifiers

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            Source URL: www.merl.com

            Language: English - Date: 2012-10-23 14:04:06