J–Machine

Results: 754



#Item
81Artificial neural networks / Machine learning / Applied mathematics / Cybernetics / Long short-term memory / Recurrent neural network / Artificial intelligence / Handwriting recognition / Feedforward neural network / Backpropagation through time / Backpropagation / Brain

Evolving memory cell structures for sequence learning Justin Bayer, Daan Wierstra, Julian Togelius and J¨ urgen Schmidhuber IDSIA, Galleria 2, 6928 Manno-Lugano, Switzerland {justin, daan, julian, juergen}@idsia.ch

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Source URL: people.idsia.ch

Language: English - Date: 2009-05-25 10:34:00
82

Spectral Methods for the Hierarchical Dirichlet Process Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola Machine Learning Department Carnegie Mellon University 5000 Forbes Ave, Pittsburgh, PA 15213

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Source URL: www.manzil.ml

Language: English
    83

    Submodular Functions, Optimization, and Applications to Machine Learning — Spring Quarter, Lecture 9 — 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: 2014-04-28 20:04:24
      84

      An Introduction to Machine Learning L3: Perceptron and Kernels 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 02:28:10
        85

        APPLIED PHYSICS LETTERS 91, 084103 !2007" Rich-club phenomenon across complex network hierarchies Julian J. McAuleya! Statistical Machine Learning Program, NICTA, Canberra, Australian Capital Territory 0200, Australia

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        Source URL: tiberiocaetano.com

        Language: English - Date: 2008-05-10 06:37:23
          86Algebra / Mathematics / Linear algebra / Differential geometry / Multilinear algebra / Tensors / Binary operations / Metric tensor / Higher-order singular value decomposition

          Spectral Methods for the Hierarchical Dirichlet Process Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola Machine Learning Department Carnegie Mellon University 5000 Forbes Ave, Pittsburgh, PA 15213

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          Source URL: www.andrew.cmu.edu

          Language: English - Date: 2016-04-25 14:45:05
          87Linguistics / Language acquisition / Language modeling / Lexis / Psychology / Vocabulary development / Probability distribution / N-gram / Machine learning / Vocabulary / Language

          Joint acquisition of word order and word reference Luke Maurits () Amy F. Perfors () Daniel J. Navarro () School of Psychology, Univers

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          Source URL: www.luke.maurits.id.au

          Language: English - Date: 2016-04-23 00:08:10
          88Statistics / Software / Knowledge / Formal sciences / Estimation theory / Statistical theory / Machine learning / Statistical models / Time series / Regression analysis / Linear regression / Statistical inference

          Statistics, Data Mining and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data ˇ ´, Andrew J. Connolly, Jacob T. VanderPlas Zeljko

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          Source URL: www.astroml.org

          Language: English - Date: 2014-01-27 13:51:41
          89

          An Introduction to Machine Learning L1: Basics and Probability Theory 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 02:27:55
            90

            A machine learning-based protocol for docking results analysis Sabina Smusz,1,2 Stefan Mordalski,1 Jagna Witek,1 Krzysztof Rataj,1 Andrzej J. Bojarski1 1 1Department

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            Source URL: www.int-conf-chem-structures.org

            Language: English - Date: 2014-07-07 14:26:57
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