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Deep belief network
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#	Item
1	Learning Symmetric Relational Markov Random Fields A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science by Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:33 Graphical models Statistics Probability Statistical theory Variable elimination Markov random field Markov chain Belief propagation Conceptual model Bayesian network Deep learning
2	D:/Dropbox/paper_work/deepvis/camera_ready/Real-Time Visual Analytics for Convolutional Neural Network.dvi Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2016-07-22 15:05:18 Artificial neural networks Computational neuroscience Cybernetics Applied mathematics Artificial intelligence Convolutional neural network Deep learning Speech recognition Filter Boltzmann machine Time delay neural network Convolutional Deep Belief Networks
3	Deep Learning for Laser Based Odometry Estimation Austin Nicolai, Ryan Skeele, Christopher Eriksen, and Geoffrey A. Hollinger Robotics Program School of Mechanical, Industrial, & Manufacturing Engineering Oregon State Un Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 11:44:51 Artificial neural networks Computational neuroscience Artificial intelligence Cybernetics Applied mathematics Machine learning Robotic sensing Computer vision Convolutional neural network Deep learning Visual odometry Convolutional Deep Belief Networks
4	Deep Learning in Partially-labeled Data Streams Jesse Read Aalto University and HIIT Helsinki, Finland Fernando Perez-Cruz Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-12-09 08:08:51 Machine learning Learning Artificial intelligence Artificial neural networks Statistical classification Data mining Deep learning K-nearest neighbors algorithm Multi-label classification Deep belief network Restricted Boltzmann machine Concept drift
5	AITF ANNUAL REPORT 2016 DR. RICHARD SUTTON REINFORCEMENT LEARNING AND ARTIFICIAL INTELLIGENCE AITF ANNUAL REPORT MARCH 31, EXECUTIVE SUMMARY Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2016-05-16 19:35:21 Computational neuroscience Applied mathematics Cybernetics Cognitive science Neuroscience Belief revision Reinforcement learning Machine learning Artificial neural network Temporal difference learning Deep learning Reinforcement
6	In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, 2010 Exploiting Local Structure in Stacked Boltzmann Machines Hannes Schulz, Andreas M¨ ul Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Statistics Probability Statistical models Machine learning Artificial intelligence Computational neuroscience Restricted Boltzmann machine Boltzmann machine Feature learning Deep belief network Convolutional neural network
7	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
8	Pairwise Decomposition of Image Sequences for Active Multi-View Recognition Edward Johns, Stefan Leutenegger and Andrew J. Davison Dyson Robotics Laboratory at Imperial College, Department of Computing, Imperial College Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2016-04-25 07:27:41 Artificial neural networks Computational neuroscience Computer vision Convolutional neural network Conference on Computer Vision and Pattern Recognition Outline of object recognition Convolutional Deep Belief Networks Machine vision Deep learning
9	Cross-modal Sound Mapping Using Deep Learning Ohad Fried Rebecca Fiebrink Princeton University Add to Reading List Source URL: www.ohadf.com Language: English - Date: 2016-06-06 02:20:12 Machine learning Artificial neural networks Computational neuroscience Cybernetics Computational statistics Deep learning Feature learning Autoencoder Deep belief network Dimensionality reduction Backpropagation Supervised learning
10	Advances in Deep Learning by Wojciech Zaremba Ex-Intern at Grad student at Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2014-10-03 11:53:39 Computational neuroscience Artificial neural networks Artificial intelligence Deep learning Convolutional neural network Computational linguistics Recurrent neural network Speech recognition Convolutional Deep Belief Networks

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