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Artificial neural networks
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51	Workshop track - ICLRV ISUALIZING N ETWORKS AND Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2016-04-13 17:20:13 Artificial neural networks Artificial intelligence Machine learning Computational linguistics Applied mathematics Computational neuroscience Artificial intelligence applications Long short-term memory Computational statistics Recurrent neural network Speech recognition Vanishing gradient problem
52	1. Sylvain Trépanier, Lucie Mathieu, Réal Daigneault, Stéphane Faure; Precursors predicted by artificial neural networks for mass balance calculations: Quantifying hydrothermal alteration in volcanic rocks, Computers Add to Reading List Source URL: georoc.mpch-mainz.gwdg.de Language: English - Date: 2016-05-02 04:45:00 Geology Petrology Igneous petrology Plate tectonics Igneous rocks Volcanology Subvolcanic rocks Kaapvaal Craton Mantle plume Ophiolite Adakite Kimberlite
53	Microsoft Word - XindiCaiResume4acil.doc Add to Reading List Source URL: acil.mst.edu Language: English - Date: 2014-01-22 05:24:00 Computational neuroscience Mathematical psychology Institute of Electrical and Electronics Engineers Applied mathematics Academia Cognitive science Artificial neural networks
54	Perceptrons Informatics 1 CG: Lecture 5 Mirella Lapata School of Informatics University of Edinburgh Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-01-21 10:51:51 Neuroscience Computational neuroscience Cognition Cognitive science Artificial neural networks Nervous system Artificial intelligence Connectionism Biological neural network Neuron Hybrid neural network Nervous system network models
55	Computational Intelligence for Decoding Brain’s Motor Cortical Functions Jennie Si, Ph.D. () Professor, School of Electrical, Computer and Energy Engineering Graduate Faculty of the School of Biological and H Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:21:48 Neuroscience Computational neuroscience Nervous system Neural networks Cognitive science Artificial neural networks Computational statistics Biological neural network Brain Neural coding Neural decoding Neural engineering
56	Low-Complexity Coding and Decoding Sepp Hochreiter and Jurgen Schmidhuber Technische Universitat Munchen, 80290 Munchen, Germany and IDSIA, Corso Elvezia 36, CH-6900-Lugano, Switzerland Abstract. We present a novel Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:15:47 Artificial neural networks Applied mathematics Machine learning Statistics Factorial code Sepp Hochreiter Backpropagation Competitive learning Self-organizing map Autoencoder
57	Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training Majid Yazdani Computer Science Department University of Geneva Add to Reading List Source URL: majid.yazdani.me Language: English - Date: 2015-08-19 06:57:43 Artificial intelligence Machine learning Parsing algorithms Learning Computational linguistics Artificial neural networks Parsing Deep learning Shift-reduce parser Michael Collins Statistical parsing Speech recognition
58	Compacting ConvNets for end to end Learning Jose M. Alvarez Joint work with Lars Pertersson, Hao Zhou, Fatih Porikli. NICTA Copyright 2012 Add to Reading List Source URL: juxi.net Language: English - Date: 2016-02-10 01:19:02 Computational neuroscience Cognitive science Data Artificial intelligence Artificial neural networks Computer vision Convolutional neural network NICTA Conference on Computer Vision and Pattern Recognition Imagination Image segmentation Copyright
59	Predictive Coding of Dynamical Variables in Balanced Spiking Networks Martin Boerlin1, Christian K. Machens2, Sophie Dene`ve1* 1 Group for Neural Theory, De´partement d’E´tudes Cognitives, E´cole Normale Supe´rieur Add to Reading List Source URL: www.machenslab.org Language: English - Date: 2014-06-04 11:04:44 Neuroscience Computational neuroscience Nervous system Neural networks Biology Artificial neural networks Neural coding Neuron Synaptic weight Spiking neural network Biological neural network Action potential
60	Visualizing and Understanding Neural Models in NLP Jiwei Li1 , Xinlei Chen2 , Eduard Hovy2 and Dan Jurafsky1 1 Computer Science Department, Stanford University, Stanford, CA 94305, USA Technology Institute, Carnegie Mell Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2016-06-08 15:36:19 Artificial neural networks Neuroscience Cognitive science Computational neuroscience Artificial intelligence Machine learning Computational statistics Deep learning Word embedding Recurrent neural network Language model Long short-term memory