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Artificial neural networks
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#	Item
201	Feature extraction through LOCOCODE Neural Computation 11(3):679{714, 1999 Sepp Hochreiter Jurgen Schmidhuber Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:20:42 Artificial neural networks Multivariate statistics Signal processing Computational neuroscience Computational statistics Factorial code Sepp Hochreiter Autoencoder Backpropagation Principal component analysis Independent component analysis
202	Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change William L. Hamilton, Jure Leskovec, Dan Jurafsky Computer Science Department, Stanford University, Stanford CA, 94305 wleif,jure, Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2016-06-08 15:36:16 Semantics Natural language processing Computational linguistics Historical linguistics Artificial neural networks Latent semantic analysis Polysemy Semantic change Semantic similarity Distributional semantics Language change Document-term matrix
203	Supplementary for Structural-RNN: Deep Learning on Spatio-Temporal Graphs Ashesh Jain1,2 , Amir R. Zamir1 , Silvio Savarese1 , and Ashutosh Saxena3 Stanford University1 , Cornell University2 , Brain Of Things Inc.3 {ashe Add to Reading List Source URL: asheshjain.org Language: English - Date: 2016-07-13 23:04:50 Artificial neural networks Computational neuroscience Deep learning Long short-term memory Mathematical logic Artificial intelligence Algorithm Motion
204	Globally Normalized Transition-Based Neural Networks Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov and Michael Collins∗ Google Inc New York, NY {andor,chrisa Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-06-08 20:54:40 Artificial neural networks Language modeling Computational neuroscience Mathematical psychology N-gram Word embedding Conditional random field Perceptron
205	Rectified Factor Networks Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-03 06:11:45 Computational statistics Machine learning Computational biology Sepp Hochreiter Artificial neural networks Computational neuroscience Deep learning Autoencoder Principal component analysis Normal distribution Stochastic gradient descent Support vector machine
206	EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion Xin Rong1 , Zhe Chen2 , Qiaozhu Mei1,2 , Eytan Adar1,2 1 School of Information, 2 Computer Science and Engineering Add to Reading List Source URL: www.cond.org Language: English - Date: 2015-12-14 21:19:03 Computational linguistics Natural language processing Artificial neural networks Language modeling Data mining Word2vec Cluster analysis Word embedding N-gram Word-sense disambiguation Hierarchical clustering Ontology
207	Tutorial on Optimization for Deep Networks Ian Goodfellow Senior Research Scientist Google Brain Re-Work Deep Learning Summit Add to Reading List Source URL: www.deeplearningbook.org Language: English - Date: 2016-08-16 14:29:07 Computational statistics Deep learning Artificial neural network Ian Goodfellow
208	Informatics 1 Cognitive Science (2014–2015) School of Informatics, University of Edinburgh Mirella Lapata Quiz 2: Perceptrons and Multilayer Perceptrons 1. Which one of the following is the perceptron’s input functio Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-11 08:43:44 Artificial neural networks Functions and mappings Computational neuroscience Multilayer perceptron Perceptron Function Connectionism Graph of a function Computable function Feedforward neural network
209	Torchnet: An Open-Source Platform for (Deep) Learning Research Ronan Collobert LOCRONAN @ FB . COM Laurens van der Maaten LVDMAATEN @ FB . COM Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Computational neuroscience Machine learning Artificial neural networks Computer vision Convolutional neural network Computational statistics Deep learning MNIST database Torch Feature learning Iterator Database
210	INVESTIGATION OF BACK-OFF BASED INTERPOLATION BETWEEN RECURRENT NEURAL NETWORK AND N-GRAM LANGUAGE MODELS X. Chen, X. Liu, M. J. F. Gales, and P. C. Woodland University of Cambridge Engineering Department, Cambridge, U.K Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-03-11 05:30:19 Computational linguistics Artificial neural networks Artificial intelligence Interpolation Statistical natural language processing Recurrent neural network Language model Linear interpolation N-gram Speech recognition Craig interpolation

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