Deep learning

Results: 859



#Item
581

DEEP LEARNING FOR ROBUST FEATURE GENERATION IN AUDIOVISUAL EMOTION RECOGNITION Yelin Kim, Honglak Lee, and Emily Mower Provost ∗ University of Michigan Electrical Engineering and Computer Science, Ann Arbor, Michigan,

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Source URL: web.eecs.umich.edu

Language: English - Date: 2014-04-07 02:51:47
    582Supervised learning / Regularization / Learning / Segmentation / Computational statistics / Computer vision / Machine learning / Artificial intelligence / Image processing

    Deep Learning for Detecting Robotic Grasps Ian Lenz,† Honglak Lee,∗ and Ashutosh Saxena† Department of Computer Science, Cornell University. ∗ Department of EECS, University of Michigan, Ann Arbor. Email: ianlenz

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    Source URL: web.eecs.umich.edu

    Language: English - Date: 2013-08-19 06:56:39
    583Science / Artificial neural network / Boltzmann machine / Recurrent neural network / Feedforward neural network / Backpropagation / Speech recognition / Hidden Markov model / Early stopping / Neural networks / Machine learning / Cybernetics

    SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton

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    Source URL: www.cs.toronto.edu

    Language: English - Date: 2011-03-01 16:37:24
    584Cybernetics / Artificial neural network / Backpropagation / Recurrent neural network / Long short term memory / SL / Unsupervised learning / Group method of data handling / Supervised learning / Neural networks / Machine learning / Statistics

    Deep Learning in Neural Networks: An Overview arXiv:1404.7828v3 [cs.NE] 2 Jul 2014 Technical Report IDSIAarXiv:v3 [cs.NE]

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    Source URL: arxiv.org

    Language: English - Date: 2014-07-02 20:59:52
    585Educational psychology / Learning / Lesson / Reading / Eleanor Duckworth / Education / Teaching / Pedagogy

    Study Guide Minds on Mathematics: Using Math Workshop to Develop Deep Understanding in Grades 4-8 Wendy Ward Hoffer

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    Source URL: 5wiu0303zihsqk9e39pozd3t.wpengine.netdna-cdn.com

    Language: English - Date: 2014-11-12 06:25:32
    586Cybernetics / SL / Unsupervised learning / Artificial neural network / Recurrent neural network / Long short term memory / Backpropagation / Supervised learning / Pattern recognition / Neural networks / Machine learning / Statistics

    Deep Learning in Neural Networks: An Overview arXiv:1404.7828v4 [cs.NE] 8 Oct 2014 Technical Report IDSIAarXiv:v4 [cs.NE] (88 pages, 888 references)

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    Source URL: arxiv.org

    Language: English - Date: 2014-10-08 20:33:26
    587Philosophy of education / Learning / Educational psychology / Blended learning / E-learning / Online learning community / Learning community / Community of inquiry / Social software in education / Education / Pedagogy / Distance education

    UNIVERSITY OF CALGARY Face-to-face and Online Learning Communities and Their Effect on Deep and Surface Approaches to Learning by

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    Source URL: theses.ucalgary.ca

    Language: English - Date: 2013-11-12 03:00:13
    588Stroke / Deep vein thrombosis / Management of atrial fibrillation / Cancer / Oncology / Breast cancer / Colorectal cancer / Cardiology Trials Quick Review / Interventional radiology / Medicine / Health / Aging-associated diseases

    Currently Available on cmeonline.wustl.edu *NEW Learning from Teaching Evidence-Based Treatment of Cerebrovascular Disease Antithrombotic Therapy in Secondary Prevention of NonCardioembolic Stroke Antithrombotic therapy

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    Source URL: cme-online.wustl.edu

    Language: English - Date: 2015-03-17 12:54:16
    589Semi-supervised learning / Supervised learning / Pattern recognition / Unsupervised learning / Transduction / Neural network / Object recognition / Machine learning / Artificial intelligence / Learning

    Deep Learning from Temporal Coherence in Video Hossein Mobahi Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, ILUSA Ronan Collobert

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    Source URL: ronan.collobert.com

    Language: English - Date: 2009-09-30 13:21:59
    590Numerical linear algebra / Least squares / Operator theory / Estimation theory / Limited-memory BFGS / BFGS method / Gauss–Newton algorithm / Hessian matrix / Mathematical optimization / Numerical analysis / Mathematics / Mathematical analysis

    Krylov Subspace Descent for Deep Learning Oriol Vinyals University of California, Berkeley Abstract

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    Source URL: www1.icsi.berkeley.edu

    Language: English - Date: 2012-02-03 01:40:48
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