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Artificial neural networks
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161	Prediction tasks over nodes and edges in networks require careful effort in engineering features for learning algorithms. Recent research in the broader field of representation learning has led to significant progress in Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Feature learning Machine learning Artificial neural networks Computational statistics Deep learning
162	NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Machine learning Computational neuroscience Estimation theory Statistical theory Restricted Boltzmann machine Deep learning Boltzmann machine Feature learning Deep belief network MNIST database Likelihood function
163	Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Yulia Tsvetkov♠ Manaal Faruqui♠ Wang Ling♣ Brian MacWhinney♠ Chris Dyer♣♠ ♠ Carnegie Mellon University ♣ G Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2016-08-01 10:37:36 Machine learning Computational linguistics Artificial neural networks Natural language processing Graphical models Word embedding Word-sense disambiguation Word2vec Conditional random field Named-entity recognition Curriculum Support vector machine
164	Topology User Manual Kittel Austvoll This version of the manual applies to NEST 1.9.r8375 and later. Contents 1 Add to Reading List Source URL: www.nest-simulator.org Language: English - Date: 2016-01-04 09:55:18 Node Telecommunications Network architecture Artificial neural networks Computational neuroscience Network segment
165	International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems cfWorld Scientic Publishing Company THE VANISHING GRADIENT PROBLEM DURING LEARNING RECURRENT NEURAL NETS AND PROBLEM SOLUTIONS Sepp Hochreiter Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:19:09 Artificial neural networks Recurrent neural network Long short-term memory Vanishing gradient problem Sepp Hochreiter Backpropagation through time Backpropagation Artificial intelligence Deep learning Speech recognition
166	Julia Proskurnia PhD Student in Distributed Computing, System Analyst + Add to Reading List Source URL: proskurnia.in.ua Language: English - Date: 2013-08-20 14:53:36 Computational statistics Artificial neural networks Computational neuroscience Mathematical psychology Distributed computing Group method of data handling Kyiv Polytechnic Institute
167	Deep Learning for Fast and Accurate Fashion Item Detection Evgeny Smirnov Anton Kulinkin Add to Reading List Source URL: kddfashion2016.mybluemix.net Language: English - Date: 2016-08-14 10:56:48 Computational neuroscience Artificial neural networks Artificial intelligence Computer vision Convolutional neural network Deep learning Feature detection Outline of object recognition Image segmentation ImageNet Object detection Feature
168	ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation Di Lin1∗ Jifeng Dai2 Jiaya Jia1 Kaiming He2 Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2016-04-11 06:58:24 Computational neuroscience Image segmentation ImageNet Annotation Artificial neural network
169	MULTI-LOSS CONVOLUTIONAL NETWORKS FOR GLAND ANALYSIS IN MICROSCOPY A¨ıcha BenTaieb, Jeremy Kawahara and Ghassan Hamarneh Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada ABSTRACT Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2016-02-06 13:56:22 Computational neuroscience Computer vision Image segmentation Health informatics Medical technology Medical imaging Deep learning Convolutional neural network Medical image computing Market segmentation Artificial neural network Image analysis
170	arXiv:1412.3409v2 [cs.AI] 27 JanTeaching Deep Convolutional Neural Networks to Play Go Christopher Clark University of Edinburgh Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-01-27 21:38:20 Computational neuroscience Artificial neural networks Computer vision Convolutional neural network Go software Computational statistics Deep learning Computer Go Artificial intelligence KGS Go Server Darkforest

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