Machine learning

Results: 10129



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141

Active Tree Search Robert Lieck Marc Toussaint Machine Learning and Robotics Lab

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Source URL: ipvs.informatik.uni-stuttgart.de

Language: English - Date: 2018-04-01 14:23:25
    142

    Announcement of an open position at the Faculty of Informatics, TU Wien, Austria FULL PROFESSOR of MACHINE LEARNING

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    Source URL: www.informatik.tuwien.ac.at

    Language: English - Date: 2018-06-07 05:37:50
      143

      IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. X, NO. X, XXEfficient Probabilistic Classification Vector Machine with Incremental Basis Function Selection

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      Source URL: staff.ustc.edu.cn

      Language: English - Date: 2014-04-11 09:32:09
        144

        Multiagent Learning During On-Going Human-Machine Interactions: The Role of Reputation Jacob W. Crandall and Michael A. Goodrich Computer Science Department Brigham Young University Provo, UT 84602

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        Source URL: faculty.cs.byu.edu

        Language: English - Date: 2007-06-06 14:05:16
          145

          A Model for Learned Bloom Filters and Related Structures Michael Mitzenmacher1 Abstract— Recent work has suggested enhancing Bloom filters by using a pre-filter, based on applying machine learning to model the data set

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          Source URL: www.eecs.harvard.edu

          Language: English - Date: 2018-01-24 22:34:19
            146

            Journal of Machine Learning Research1703 Submitted 11/10; Revised 10/11; Published 5/12 glm-ie: Generalised Linear Models Inference & Estimation Toolbox Hannes Nickisch

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            Source URL: jmlr.csail.mit.edu

            Language: English - Date: 2017-07-22 15:40:35
              147

              Advanced Machine Learning Boosting theory Sébastien Blondiau, François Delarbre, Nathan Greffe, Arnaud Vallot May 2018 University of Liege

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              Source URL: www.montefiore.ulg.ac.be

              Language: English - Date: 2018-04-18 08:12:03
                148

                IEEE WCCI 2014 Tutorial on Computational Intelligence and Machine Learning for Affective Computing Number of publications

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                Source URL: www.conference123.org

                Language: English - Date: 2014-07-16 23:21:50
                  149

                  A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

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                  Source URL: pdfs.semanticscholar.org

                  Language: English - Date: 2017-10-24 10:59:02
                    150

                    1 Erratum for sectionin Rasmussen and Williams, Gaussian Processes for Machine Learning (MIT Press, 2006) In sectionwe present a comparison of 4 methods (SR, SR, PP, BCM) on

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                    Source URL: www.gaussianprocess.org

                    Language: English - Date: 2006-05-29 10:16:28
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