Sepp

Results: 622



#Item
41Biology / Molecular biology / Bioinformatics / Microarrays / Computational biology / Gene expression / Sepp Hochreiter / DNA microarray / Gene

Construction of Metagenes by Conditional Factor Analysis Andreas Mayr, Djork-Arne Clevert, Andreas Mitterecker, An De Bondt, Willem Talloen, Hinrich Göhlmann, Sepp Hochreiter Gene selection for classification microarray

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Source URL: www.bioinf.jku.at

Language: English - Date: 2009-06-19 04:37:32
42Artificial neural networks / Applied mathematics / Machine learning / Statistics / Factorial code / Sepp Hochreiter / Backpropagation / Competitive learning / Self-organizing map / Autoencoder

Low-Complexity Coding and Decoding Sepp Hochreiter and Jurgen Schmidhuber Technische Universitat Munchen, 80290 Munchen, Germany and IDSIA, Corso Elvezia 36, CH-6900-Lugano, Switzerland Abstract. We present a novel

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:15:47
43Statistical classification / Support vector machine / Tor

Coulomb Classi ers: Reinterpreting SVMs as Ele trostati Systems Sepp Ho hreiter and Mi hael C. Mozer Te hni al Report CU-CSDepartment of Computer S ien e University of Colorado

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:28:01
44Biology / Genetics / Population genetics / Academia / Genetic genealogy / Classical genetics / Computational biology / DNA / Haplotype / Linkage disequilibrium / Single-nucleotide polymorphism / Genetic association

Rare Haplotypes in the Korean Population  Sepp Hochreiter, Günter Klambauer, Gundula Povysil, Djork‐Arné Clevert  Institute of Bioinformatics, Johannes Kepler University Linz, Austria  Knowledge

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Source URL: www.bioinf.jku.at

Language: English - Date: 2012-08-02 03:30:02
45Artificial neural networks / Machine learning / Artificial intelligence / Cybernetics / Sepp Hochreiter / Deep learning / Rectifier / Activation function / MNIST database / Backpropagation / Autoencoder / Boltzmann machine

ELU-Networks: Fast and Accurate CNN Learning on ImageNet Martin Heusel, Djork-Arné Clevert, Günter Klambauer, Andreas Mayr, Karin Schwarzbauer, Thomas Unterthiner, and Sepp Hochreiter Abstract:

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Source URL: www.bioinf.jku.at

Language: English - Date: 2015-12-21 07:26:55
46Algebra / Mathematics / Linear algebra / Abstract algebra / Matrices / Statistical classification / Machine learning / Support vector machine / Matrix / Test set / Kernel method / Kernel

Classification, Regression, and Feature Selection on Matrix Data Sepp Hochreiter and Klaus Obermayer Department of Electrical Engineering and Computer Science Technische Universit¨at BerlinBerlin, Germany

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-04-30 01:33:38
47Bioinformatics / Artificial intelligence / Academia / Computational biology / Sepp Hochreiter / Biclustering / Biology / Microarrays / Affymetrix / Generative model

FABIA: Factor Analysis for Bicluster Acquisition Sepp Hochreiter, Ulrich Bodenhofer, Martin Heusel, Andreas Mayr, Andreas Mitterecker, Adetayo Kasim, Tatsiana Khamiakova, Suzy Van Sanden, Dan Lin, Willem Talloen, Luc Bij

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Source URL: www.iscb.org

Language: English - Date: 2010-03-19 13:19:45
48Biology / Microarrays / Chemistry / Gene expression / Biochemistry / Bioinformatics / DNA / DNA microarray / Microtechnology / Sepp Hochreiter / Gene expression profiling / Feature selection

1 Gene Selection for Microarray Data Sepp Hochreiter Klaus Obermayer

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:32:28
49Artificial neural networks / Applied mathematics / Cybernetics / Cognitive science / Parsing / Deep learning / LL parser / Word embedding / Recursive neural network / Recurrent neural network / Long short-term memory / Sepp Hochreiter

PDF Document

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Source URL: www.cs.cmu.edu

Language: English - Date: 2015-11-17 16:47:15
50Genomics / Biology / Bioinformatics / Molecular biology / Computational biology / Sepp Hochreiter / Toxicology / Toxicogenomics / Microarrays / Functional genomics / In vitro / Gene expression

Exploiting the Japanese Toxicogenomics Project for Predictive Modelling of Drug Toxicity Djork-Arn´e Clevert1† , Martin Heusel1† , Andreas Mitterecker1 , Willem Talloen2 , Hinrich G¨ohlmann2 , J¨org Wegner2 , Andr

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Source URL: www.bioinf.jku.at

Language: English - Date: 2012-08-02 03:31:12
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