J–Machine

Results: 754



#Item
111

An Introduction to Machine Learning L6: Structured Estimation Alexander J. Smola Statistical Machine Learning Program Canberra, ACT 0200 Australia

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Source URL: alex.smola.org

Language: English - Date: 2013-09-09 02:28:35
    112

    Submodular Functions, Optimization, and Applications to Machine Learning — Spring Quarter, Lecture 11 — http://j.ee.washington.edu/~bilmes/classes/ee596b_spring_2014/ Prof. Jeff Bilmes

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    Source URL: j.ee.washington.edu

    Language: English - Date: 2014-05-09 05:04:58
      113

      Stochastic Variance Reduction for Nonconvex Optimization Sashank J. Reddi Machine Learning Department, School of Computer Science, Carnegie Mellon University SJAKKAMR @ CS . CMU . EDU

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      Source URL: suvrit.de

      Language: English - Date: 2016-03-19 19:09:45
        114

        Neuron, Volume 68 Supplemental Information Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine? M M. C hurchland, J P. C unningham, M T . K aufman, S I. Ryu, and K V . Shenoy

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        Source URL: stat.columbia.edu

        Language: English - Date: 2013-08-24 16:54:02
          115

          An Introduction to Machine Learning L4: Support Vector Classification Alexander J. Smola Statistical Machine Learning Program Canberra, ACT 0200 Australia

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          Source URL: alex.smola.org

          Language: English - Date: 2013-09-09 02:28:19
            116Statistics / Machine learning / Cluster analysis / Computational statistics / Bioinformatics / Hierarchical clustering / Network analysis / Dirichlet process / K-means clustering / DNA binding site / Expectationmaximization algorithm / Consensus clustering

            Bayesian Clustering of Transcription Factor Binding Motifs Shane T. J ENSEN and Jun S. L IU Genes are often regulated in living cells by proteins called transcription factors that bind directly to short segments of DNA i

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            Source URL: www-stat.wharton.upenn.edu

            Language: English - Date: 2008-02-26 17:59:19
            117

            Submodular Functions, Optimization, and Applications to Machine Learning — Spring Quarter, Lecture 3 — http://j.ee.washington.edu/~bilmes/classes/ee596b_spring_2014/ Prof. Jeff Bilmes

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            Source URL: j.ee.washington.edu

            Language: English - Date: 2014-04-08 22:55:16
              118

              A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces John P. Cunningham, Paul Nuyujukian, Vikash Gilja, Cindy A. Chestek, Stephen I. Ryu and Krishna V. Shenoy J Neuroph

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              Source URL: stat.columbia.edu

              Language: English - Date: 2013-08-24 16:54:19
                119

                Energy-Oriented Partial Desktop Virtual Machine Migration NILTON BILA, University of Toronto and IBM Research ERIC J. WRIGHT and EYAL DE LARA, University of Toronto KAUSTUBH JOSHI, AT&T Labs Research ´ LAGAR-CAVILLA, Go

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                Source URL: www.eecg.toronto.edu

                Language: English
                  120

                  A Family of G¨ odel Machine Implementations Bas R. Steunebrink and J¨ urgen Schmidhuber IDSIA & University of Lugano, Switzerland, {bas,juergen}@idsia.ch

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                  Source URL: people.idsia.ch

                  Language: English - Date: 2011-08-17 13:26:00
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