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Neural network
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#	Item
251	A Theoretical Analysis of Context-Based Learning Algorithms for Word Sense Disambiguation 1 Paola Velardi1 and Alessandro Cucchiarelli2 Abstract. Word Sense Disambiguation (WSD) is a central task in Add to Reading List Source URL: wwwusers.di.uniroma1.it Language: English - Date: 2003-01-22 10:22:17 Natural language processing Computational linguistics Semantics Linguistics Language Cognition Word-sense disambiguation SemEval Machine learning IP Artificial neural network Supervised learning
252	Learning Quadratic Forms by Density Estimation and its Applications to Image Coding Hauke Bartsch, Sepp Hochreiter and Klaus Obermayer Dept. of Computer Science, Technische Universit¨ at Berlin, Germany, Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2006-05-15 05:02:22 Statistics Applied mathematics Image processing Feature detection Computational neuroscience Artificial neural network Mathematical psychology Expectationmaximization algorithm Density estimation Gabor filter Machine learning Sepp Hochreiter
253	Self-Supervised Deep Visuomotor Learning from Motor Unit Feedback Jay Ming Wong∗ , Takeshi Takahashi∗ , Roderic A. Grupen Laboratory for Perceptual Robotics College of Information and Computer Sciences, University of Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 11:45:04 Computational neuroscience Applied mathematics Cybernetics Artificial neural networks Cognitive science Computer vision Convolutional neural network Deep learning Artificial intelligence Humanoid robot Robotics Machine learning
254	Database Meets Deep Learning: Challenges and Opportunities Wei Wang† , Meihui Zhang‡ , Gang Chen§ , H. V. Jagadish# , Beng Chin Ooi† , Kian-Lee Tan† † Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2016-08-03 01:23:00 Computing Concurrent computing Parallel computing Applied mathematics Computational linguistics Computational neuroscience Formal sciences Artificial neural networks Deep learning Machine learning Database Recurrent neural network
255	Eddies in the Stream © Rick Hanson, Ph.DRivers flow and eddies form. An eddy is a relatively stable pattern whose elements continually change. It is Add to Reading List Source URL: media.rickhanson.net Language: English - Date: 2014-01-09 15:25:56 Neuroscience Cognitive science Cognition Neuropsychology Computational neuroscience Neural networks Nervous system Biological neural network Eddy Nirvana Artificial neural network Neural correlates of consciousness
256	IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. 6, NO. 2, Add to Reading List Source URL: www.infosys.tuwien.ac.at Language: English - Date: 2013-06-06 08:13:42 Applied mathematics Mathematical optimization Mathematics Business Operations research Cybernetics IT service management Outsourcing Genetic algorithm SmithLemliOpitz syndrome Algorithm Artificial neural network
257	Microsoft Word - IBSS&K Engineering.doc Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:46:08 Artificial intelligence Logic Applied mathematics Cybernetics Neuro-fuzzy Artificial neural network Fuzzy logic Hybrid intelligent system Fuzzy set Fuzzy control system Modularity Self-organizing map
258	This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar Add to Reading List Source URL: www.stefanfrank.info Language: English - Date: 2012-06-04 17:20:42 Cognition Cognitive science Psycholinguistics Artificial intelligence Artificial neural networks Sentence processing Connectionism ACT-R Recurrent neural network Simulation
259	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
260	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

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