Sepp Hochreiter

Results: 82



#Item
1

Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems Sepp Hochreiter† , Michael C. Mozer∗ , and Klaus Obermayer† †

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Source URL: www.bioinf.jku.at

- Date: 2013-01-23 02:29:11
    2

    Gene Selection on Micro Array Data through Support Vector Machines Sepp Hochreiter and Klaus Obermayer Department of Electrical Engineering and Computer Science Technische Universit¨at Berlin, 10587 Berlin, Germany Intr

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    Source URL: www.bioinf.jku.at

    - Date: 2013-01-23 02:30:00
      3

      Proof of Theorem 2 in the IJCNN submission Sepp Hochreiter and Klaus Obermayer Department of Electrical Engineering and Computer Science Technische Universit¨at BerlinBerlin, Germany {hochreit,oby}@cs.tu-berlin.d

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      Source URL: www.bioinf.jku.at

      - Date: 2013-09-23 07:32:58
        4

        Detecting rare copy number variations (CNVs) with sparse coding Andreas Mitterecker, Djork-Arné Clevert, Andreas Mayr, An De Bondt, Willem Talloen, Hinrich Göhlmann, Sepp Hochreiter High-density oligonucleotide genoty

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        Source URL: www.iscb.org

        - Date: 2010-03-19 19:17:10
          5

          16 Exploring the consequences of ancient and contemporary gene flow 29A Early Interbreeding between Ancestors of Humans, Neandertals, and Denisovans within Africa Gundula Povysil, Sepp Hochreiter Institute of Bioinformat

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          Source URL: www.bioinf.jku.at

          - Date: 2015-08-27 08:23:09
            6

            Identification of Short and Rare Haplotype Clusters in Korean Genomes Sepp Hochreiter, Günter Klambauer, Gundula Povysil, Djork-Arné Clevert Institute of Bioinformatics, Johannes Kepler University Linz, Austria We dev

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            Source URL: www.bioinf.jku.at

            - Date: 2012-09-13 01:44:52
              7

              A New Summarization Method for Affymetrix Probe Level Data SUPPLEMENTARY INFORMATION Sepp Hochreiter† , Djork-Arne Clevert† , and Klaus Obermayer‡ †

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              Source URL: www.bioinf.jku.at

              - Date: 2007-07-27 04:54:01
                8

                Controlling the false discovery rate at detection of biological aberrations in -omic data Djork-Arné Clevert a,b, Andreas Mayr a, Andreas Mitterecker a, Günter Klambauer a, and Sepp Hochreiter a,* a

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                Source URL: www.bioinf.jku.at

                - Date: 2012-08-01 05:15:33
                  9

                  Improving the Power of Rare-Variant Association Tests by a Position-Dependent Kernel Approach Ulrich Bodenhofer and Sepp Hochreiter Current high-throughput sequencing technologies have allowed for an easy and cost-effici

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                  Source URL: www.bioinf.jku.at

                  - Date: 2012-09-13 01:57:04
                    10

                    Feature extraction through LOCOCODE Technical Report FKIrevised) Sepp Hochreiter Jurgen Schmidhuber

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                    Source URL: www.bioinf.jku.at

                    - Date: 2013-01-23 02:17:39
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