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Network intelligence
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#	Item
141	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
142	Journal of Network and Computer Applications–153 Contents lists available at ScienceDirect Journal of Network and Computer Applications journal homepage: www.elsevier.com/locate/jnca Add to Reading List Source URL: www.infosys.tuwien.ac.at Language: English - Date: 2016-03-31 06:15:38 Computing Emerging technologies Data management Information science Ambient intelligence Internet of things Web services Big data Radio-frequency identification Wireless sensor network Data stream management system Semantic Web
143	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
144	Minimum trajectory error training for deep neural networks, combined with stacked bottleneck features Zhizheng Wu Simon King Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English Computational linguistics Humancomputer interaction Machine learning Artificial intelligence Speech recognition Speech synthesis Recurrent neural network Artificial neural network Acoustic model Digital News Network Hidden Markov model
145	Hardness and Approximation Results for Black Hole Search in Arbitrary Networks⋆ Ralf Klasing⋆⋆, Euripides Markou⋆ ⋆ ⋆ , Tomasz Radzik† , and Fabiano Sarracco‡ Abstract. A black hole is a highly harmful st Add to Reading List Source URL: emarkou.users.uth.gr Language: English - Date: 2016-05-24 11:28:43 Graph theory Mathematics Routing algorithms Edsger W. Dijkstra Combinatorial optimization Search algorithms Game artificial intelligence A* search algorithm Shortest path problem Flow network Tree Graph
146	Workshop track - ICLRU NDERSTANDING VERY DEEP NETWORKS VIA VOLUME CONSERVATION Thomas Unterthiner & Sepp Hochreiter Institute of Bioinformatics Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2016-04-06 05:13:16 Artificial neural networks Applied mathematics Cybernetics Artificial intelligence Deep learning Vanishing gradient problem Recurrent neural network Long short-term memory Rectifier Sepp Hochreiter Activation function Feature learning
147	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
148	User Guide B. Guide to Layout: Spatial Services Portal The Spatial Services Portal (the portal) provides the products and services relating to spatial and cadastral mapping (previously found in the SIX Portal) in a clear Add to Reading List Source URL: six.nsw.gov.au Language: English - Date: 2016-06-28 22:01:19 Gaming Software Portal Fiction Artificial intelligence in fiction First-person shooters Linux games Puzzle video games Web portal Login Draft:Universal Portal Network EGovernment in Europe
149	A deep-network solution towards model-less obstacle avoidance Lei Tai1 , Shaohua Li2 , Ming Liu1,2 Abstract— Obstacle avoidance is the core problem for mobile robots. Its objective is to allow mobile robots to explore Add to Reading List Source URL: ram-lab.com Language: English - Date: 2016-08-03 06:46:08 Computational neuroscience Artificial intelligence Cybernetics Neuroscience Artificial neural networks Formal sciences Machine learning Computer vision Convolutional neural network Deep learning Robotics Pattern recognition
150	TO P U S E C AS E S WHAT YOU CAN DO WITH KENTIK DETECT Kentik Detect helps industry leaders like Yelp, Neustar, Dailymotion, and Pandora achieve better business results by unlocking the value of network data. Delivering Add to Reading List Source URL: www.kentik.com Language: English - Date: 2016-07-14 17:33:25 Computing Internet Network architecture Border Gateway Protocol Business intelligence Peering Big data Denial-of-service attack Business analytics Internet transit Internet backbone IP hijacking

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