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Computational neuroscience
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#	Item
151	Continuous Deep Q-Learning with Model-based Acceleration arXiv:1603.00748v1 [cs.LG] 2 Mar 2016 Shixiang Gu1 2 3 SG 717@ CAM . AC . UK Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-02 20:31:58 Artificial intelligence Machine learning Computational neuroscience Learning Applied mathematics Artificial neural network Mathematical psychology Q-learning Reinforcement learning Supervised learning Feature learning Temporal difference learning
152	Exploring the Limits of Language Modeling arXiv:1602.02410v2 [cs.CL] 11 Feb 2016 Rafal Jozefowicz Oriol Vinyals Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-02-14 20:03:03 Artificial neural networks Artificial intelligence Computational neuroscience Applied mathematics Machine learning Language modeling Computational linguistics Deep learning Recurrent neural network Word embedding Speech recognition Long short-term memory
153	23rd European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, AprilDepth and Height Aware Semantic RGB-D Perception with Convolutional Neural Networks Hannes Schulz, Nico H¨ oft, and Sven Behnk Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2015-02-24 15:40:22 Computational neuroscience Computer vision Artificial neural networks Cybernetics Applied mathematics Convolutional neural network Neuroscience Image processing Image segmentation RGB color model Deep learning
154	AITF ANNUAL REPORT 2016 DR. RICHARD SUTTON REINFORCEMENT LEARNING AND ARTIFICIAL INTELLIGENCE AITF ANNUAL REPORT MARCH 31, EXECUTIVE SUMMARY Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2016-05-16 19:35:21 Computational neuroscience Applied mathematics Cybernetics Cognitive science Neuroscience Belief revision Reinforcement learning Machine learning Artificial neural network Temporal difference learning Deep learning Reinforcement
155	Sparse Models of Natural Language Text Dani Yogatama CMU-LTILanguage Technologies Institute School of Computer Science Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2015-08-18 01:45:01 Artificial intelligence Statistics Machine learning Learning Computational neuroscience Artificial neural networks Lasso Word embedding Language model Structured sparsity regularization Matrix regularization
156	2nd Student Workshop on Ecology and Optics of Coastal Zones, 2016 Kaliningrad, Russia, 19-23 JulyCLUSTER-BASED APPROACH TO THE SOLUTION OF THE INVERSE Add to Reading List Source URL: www.earsel.org Language: English - Date: 2016-06-28 13:11:01 Chemistry Statistics Applied mathematics Artificial neural networks Computational neuroscience Raman scattering Mathematical psychology Self-organizing map Chemometrics Raman spectroscopy Salt Inverse problem
157	Changes in activation wavefront in dependence on propagation velocity. Simulation study. 1 1 Add to Reading List Source URL: www.malt-meeting.net Language: English - Date: 2015-03-12 12:41:15 Neuroscience Algebra Biology Electrophysiology Optics Action potential Computational neuroscience Nervous system Wavefront Euclidean vector Ventricle Polarization
158	LOCOCODE PERFORMS NONLINEAR ICA WITHOUT KNOWING THE NUMBER OF SOURCES Sepp Hochreiter Jurgen Schmidhuber Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:21:28 Statistics Artificial neural networks Multivariate statistics Applied mathematics Signal processing Machine learning Computational neuroscience Computational statistics Independent component analysis Factorial code Sepp Hochreiter Backpropagation
159	Analysis and Metaphysics GENERAL PURPOSE INTELLIGENCE: ARGUING THE ORTHOGONALITY THESIS STUART ARMSTRONG Future of Humanity Institute, Oxford Martin School Add to Reading List Source URL: www.fhi.ox.ac.uk Language: English - Date: 2016-01-07 10:42:36 Artificial intelligence Time Futurology Future Science and technology Singularitarianism Philosophy of artificial intelligence Computational neuroscience Superintelligence Intelligent agent Existential risk from artificial general intelligence Friendly artificial intelligence
160	Modeling the Past Tense Informatics 1 CG: Lecture 7 Mirella Lapata School of Informatics University of Edinburgh Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-01-26 05:39:56 Linguistics Computational neuroscience Cognitive science Cognition English grammar Connectionism Learning Philosophy of artificial intelligence Words and Rules Verb Grammatical tense Artificial neural network

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