Deep learning

Results: 859



#Item
231Information science / Information retrieval / Internet search engines / Artificial neural networks / Information retrieval evaluation / Natural language processing / Deep learning / Recurrent neural network / Language model / Speech recognition / Dwell time / Ranking

A Neural Click Model for Web Search Alexey Borisov†, ‡ Ilya Markov‡ Maarten de Rijke‡ Pavel Serdyukov†

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Source URL: staff.fnwi.uva.nl

Language: English - Date: 2016-05-08 14:58:20
232Artificial 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
233Artificial neural networks / Statistics / Machine learning / Applied mathematics / Deep learning / Autoencoder / Backpropagation / Principal component analysis / Matrix

Exact solutions to the nonlinear dynamics of learning in deep linear neural networks arXiv:1312.6120v3 [cs.NE] 19 FebAndrew M. Saxe ()

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Source URL: arxiv.org

Language: English - Date: 2014-02-19 20:47:47
234Artificial neural networks / Artificial intelligence / Machine learning / Computational neuroscience / Computational linguistics / Cybernetics / Artificial intelligence applications / Computer-assisted translation / Deep learning / Long short-term memory / Recurrent neural network / Speech recognition

arXiv:1409.3215v3 [cs.CL] 14 Dec 2014

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Source URL: cs224d.stanford.edu

Language: English - Date: 2014-12-15 20:32:58
235Mathematics / Numerical analysis / Algebra / Linear algebra / Convex optimization / Operations research / Computational statistics / Mathematical optimization / K-SVD / Sparse approximation / Deep learning / Stochastic gradient descent

Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗ Princeton University, Computer Science Department

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Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:35
236Education / Euthenics / Knowledge sharing / Educational psychology / Noel Entwistle / Educational technology / Learning environment / Student approaches to learning / Learning theory

The deep approach to learning: analytic abstraction and idiosyncratic development Velda McCune and Noel Entwistle University of Edinburgh Paper presented at the Innovations in Higher Education Conference, 30 August - 2 S

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Source URL: www.etl.tla.ed.ac.uk

Language: English - Date: 2006-11-09 19:00:00
237Graphical models / Statistics / Probability / Statistical theory / Variable elimination / Markov random field / Markov chain / Belief propagation / Conceptual model / Bayesian network / Deep learning

Learning Symmetric Relational Markov Random Fields A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science by

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Source URL: www.cs.huji.ac.il

Language: English - Date: 2015-08-10 08:23:33
238Artificial intelligence / Artificial neural networks / Computational neuroscience / Applied mathematics / Machine learning / Natural language processing / Language modeling / Deep learning / Convolutional neural network / Yann LeCun / Word embedding / Bigram

Bag of Tricks for Efficient Text Classification Edouard Grave Piotr Bojanowski Tomas Mikolov Facebook AI Research {ajoulin,egrave,bojanowski,tmikolov}@fb.com

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Source URL: arxiv.org

Language: English - Date: 2016-07-07 20:15:13
239Computational neuroscience / Artificial intelligence / Vision / Image segmentation / Cybernetics / Computer vision / Convolutional neural network / Feature detection / Deep learning / Thresholding / Conference on Computer Vision and Pattern Recognition / Artificial neural network

Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes

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Source URL: www.ais.uni-bonn.de

Language: English - Date: 2016-02-12 15:09:15
240Artificial neural networks / Artificial intelligence / Computational neuroscience / Cybernetics / Applied mathematics / Machine learning / Formal sciences / Deep learning / Convolutional neural network / Feature learning / Restricted Boltzmann machine / Boltzmann machine

Published in Proc. of International Joint Conference on Neural Networks (IJCNNin Barcelona, Spain Topological Features in Locally Connected RBMs Andreas M¨uller, Hannes Schulz, and Sven Behnke Abstract— Unsupe

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Source URL: amueller.github.io

Language: English - Date: 2016-08-04 15:59:56
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