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Artificial neural network
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#	Item
511	Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013 Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-13 11:50:55 Artificial neural networks Restricted Boltzmann machine Boltzmann machine Autoencoder Backpropagation Feedforward neural network Generative model Connectionism Supervised learning Graphical model Machine learning Hidden Markov model
512	! 1 A Proposal to AITF iCORE by Richard Sutton to Fund Add to Reading List Source URL: incompleteideas.net Language: English - Date: 2013-09-19 19:53:13 Computational neuroscience Cybernetics Belief revision Reinforcement learning Machine learning Artificial neural network Artificial intelligence Andrew Barto Google DeepMind Robotics Reinforcement Learning theory
513	Linguistic Regularities in Continuous Space Word Representations Tomas Mikolov∗ , Wen-tau Yih, Geoffrey Zweig Microsoft Research Redmond, WA 98052 Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2013-05-18 12:41:37 Artificial neural networks Semantics Linguistics Natural language processing Computational linguistics Cognitive science Applied mathematics Artificial intelligence Word embedding Recurrent neural network SemEval Morphology
514	Multirobot Behavior Synchronization through Direct Neural Network Communication In: Proceedings of the 5th International Conference on Intelligent Robotics and Applications (ICIRANew York, NY: Springer-Verlang, 2 Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2012-07-05 13:15:47 Artificial neural networks Evolutionary algorithms Evolutionary computation Genetic algorithms Artificial intelligence HyperNEAT Neuroevolution of augmenting topologies Neuroevolution Compositional pattern-producing network Robotics Robot Cognitive robotics
515	Journal of Machine Learning Research1958 Submitted 11/13; Published 6/14 Dropout: A Simple Way to Prevent Neural Networks from Overfitting Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-13 14:30:24 Artificial neural networks Artificial intelligence Machine learning Learning Computational neuroscience Computer vision Convolutional neural network Computational statistics Deep learning Dropout Backpropagation Autoencoder
516	REGULARIZATION OF CONTEXT-DEPENDENT DEEP NEURAL NETWORKS WITH CONTEXT-INDEPENDENT MULTI-TASK TRAINING Peter Bell and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK ABST Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Artificial neural networks Machine learning Artificial intelligence Applied mathematics Speech recognition Boltzmann machine Recurrent neural network Multi-task learning Deep belief network Backpropagation Acoustic model Language model
517	Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition Di Lin† † Xiaoyong Shen† Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2015-06-19 03:14:31 Computational neuroscience Applied mathematics Cybernetics Mathematics Convolutional neural network Outline of object recognition Localization Image segmentation Artificial neural network Artificial intelligence Valuation
518	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation Kyunghyun Cho Bart van Merri¨enboer Caglar Gulcehre Universit´e de Montr´eal Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-09-03 21:21:41 Artificial neural networks Artificial intelligence Machine learning Applied mathematics Deep learning Recurrent neural network Recursive neural network Feature learning Word embedding Statistical machine translation Language model Autoencoder
519	Chris Olah "I want to understand things clearly and explain them well." Work Experience May - Sep., 2015 Add to Reading List Source URL: colah.github.io Language: English - Date: 2016-01-05 11:56:01 Computational neuroscience DIY culture Artificial neural networks 3D printing Deep learning Convolutional neural network OpenSCAD 3D modeling RepRap project
520	From Image-level to Pixel-level Labeling with Convolutional Networks Pedro O. Pinheiro1,2 Ronan Collobert1,3,† 1 Idiap Research Institute, Martigny, Switzerland 2 Add to Reading List Source URL: ronan.collobert.com Language: English - Date: 2015-08-30 20:06:35 Artificial intelligence Computer vision Vision Image processing Image segmentation Convolutional neural network ImageNet Conference on Computer Vision and Pattern Recognition Mixture model Deep learning