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Deep learning
Results: 859

#	Item
521	Complementary tasks for context-dependent deep neural network acoustic models Peter Bell, Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK {peter.bell, s.renals}@ed.ac.uk Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Artificial intelligence Machine learning Learning Applied mathematics Computational linguistics Automatic identification and data capture Computer accessibility Speech recognition Artificial neural network Multi-task learning Recurrent neural network Statistical classification
522	Wavelets on Graphs via Deep Learning Raif M. Rustamov & Leonidas Guibas Computer Science Department, Stanford University {rustamov,guibas}@stanford.edu Add to Reading List Source URL: geometry.stanford.edu Language: English - Date: 2013-09-14 17:18:50 Wavelets Signal processing Functional analysis Timefrequency analysis Digital signal processing Lifting scheme Discrete wavelet transform Haar wavelet Diffusion wavelets Daubechies wavelet Fast wavelet transform
523	Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAIPalo Alto, CA: AAAI Press. Paul A. Szerlip Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2015-03-03 21:39:20 Artificial neural networks Artificial intelligence Machine learning Learning Applied mathematics Evolutionary algorithms Computational neuroscience Evolutionary computation Neuroevolution Deep learning HyperNEAT Feature learning
524	Real-time Hebbian Learning from Autoencoder Features for Control Tasks To appear in: Proc. of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14). Cambridge, MA: MIT Press Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2014-06-04 09:58:39 Artificial neural networks Neuroscience Applied mathematics Cybernetics Autoencoder Hebbian theory Feature learning Deep learning Restricted Boltzmann machine Unsupervised learning Biological neural network Backpropagation
525	JMLR: Workshop and Conference Proceedings–15 Workshop on Unsupervised and Transfer Learning Unsupervised and Transfer Learning Challenge: a Deep Learning Approach Add to Reading List Source URL: www-etud.iro.umontreal.ca Language: English - Date: 2011-08-31 11:10:54
526	Curriculum Vitae Geoffrey E. Hinton July 14, 2015 Citizenship: Canadian (also British) Address: Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-14 07:43:54 Artificial neural networks Cognitive science Machine learning Academia Computational neuroscience Cybernetics Geoffrey Hinton Boltzmann machine Deep learning Speech recognition Artificial intelligence Helmholtz machine
527	MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE Benigno Uria1 1 Iain Murray1 Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Speech recognition Acoustic model Artificial neural network Time series Speech synthesis Pattern recognition Machine learning Deep learning
528	DEEP NEURAL NETWORKS EMPLOYING MULTI-TASK LEARNING AND STACKED BOTTLENECK FEATURES FOR SPEECH SYNTHESIS Zhizheng Wu Cassia Valentini-Botinhao Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Speech recognition Speech synthesis Recurrent neural network Artificial neural network International Conference on Acoustics Speech and Signal Processing Speech perception Digital News Network Acoustic model Deep learning
529	CONVOLUTIONAL NEURAL NETWORKS-BASED CONTINUOUS SPEECH RECOGNITION USING RAW SPEECH SIGNAL Dimitri Palaz?† Mathew Magimai.-Doss? Add to Reading List Source URL: ronan.collobert.com Language: English - Date: 2015-03-18 03:54:04 Computational neuroscience Computational linguistics Academia Artificial intelligence Applied mathematics Artificial neural networks Speech recognition Cybernetics Deep learning Convolutional neural network Acoustic model TIMIT
530	Transition-based Dependency Parsing Using Recursive Neural Networks Pontus Stenetorp∗ National Institute of InformaticsHitotsubashi, Chiyoda-ku, Tokyo, Japan Add to Reading List Source URL: pontus.stenetorp.se Language: English - Date: 2015-12-23 11:28:10 Linguistics Computational linguistics Cognitive science Cognition Syntax Artificial neural networks Natural language parsing Semantics Parsing Dependency grammar Deep learning Natural language processing

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