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Unsupervised learning
Results: 431

#	Item
351	Learning Convolutional Feature Hierarchies for Visual Recognition Koray Kavukcuoglu1 , Pierre Sermanet1 , Y-Lan Boureau2,1 , Karol Gregor1 , Micha¨el Mathieu1 , Yann LeCun1 1 Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2010-11-26 14:15:40 Statistical classification Error detection and correction Yann LeCun Linear classifier Matching pursuit Supervised learning Unsupervised learning Caltech 101 Support vector machine Statistics Artificial intelligence Machine learning
352	What is the Best Multi-Stage Architecture for Object Recognition? Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio Ranzato and Yann LeCun The Courant Institute of Mathematical Sciences New York University, 715 Broadway, Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2009-08-05 19:17:47 Computer vision Statistical classification Linear classifier Caltech 101 Pattern recognition Supervised learning Support vector machine Yann LeCun Unsupervised learning Machine learning Statistics Artificial intelligence
353	Convolutional Networks and Applications in Vision Yann LeCun, Koray Kavukcuoglu and Cl´ement Farabet Computer Science Department, Courant Institute of Mathematical Sciences, New York University {yann,koray,cfarabet}@cs. Add to Reading List Source URL: pub.clement.farabet.net Language: English - Date: 2013-07-18 17:55:30 Science Computational neuroscience Yann LeCun Supervised learning Artificial neural network Caltech 101 Unsupervised learning Backpropagation Pattern recognition Machine learning Artificial intelligence Neural networks
354	Convolutional Networks and Applications in Vision Yann LeCun, Koray Kavukcuoglu and Cl´ement Farabet Computer Science Department, Courant Institute of Mathematical Sciences, New York University {yann,koray,cfarabet}@cs. Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2010-05-10 11:37:38 Science Computational neuroscience Yann LeCun Supervised learning Artificial neural network Caltech 101 Unsupervised learning Backpropagation Pattern recognition Machine learning Artificial intelligence Neural networks
355	Hydrol. Earth Syst. Sci., 18, 2711–2714, 2014 www.hydrol-earth-syst-sci.net[removed]doi:[removed]hess[removed] © Author(s[removed]CC Attribution 3.0 License. Comment on “A hybrid model of self organizing ma Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-07-29 03:54:17 Computational neuroscience Forecasting Statistical forecasting Time series analysis Self-organizing map Unsupervised learning Data mining Artificial neural network Statistics Neural networks Data analysis
356	PDF Document Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-08-27 10:18:40 Science Data analysis Formal sciences Data mining Cybernetics Cluster analysis Pattern recognition Unsupervised learning Granular computing Statistics Machine learning Artificial intelligence
357	Microsoft Word - Iakovidis_IWSSIP_Final - Header.doc Add to Reading List Source URL: www.debugit.eu Language: English - Date: 2011-12-01 04:58:30 Linear algebra Matrix theory Non-negative matrix factorization Cluster analysis Segmentation Chest radiograph Unsupervised learning Statistics Multivariate statistics Machine learning
358	Robust Multiple Manifolds Structure Learning Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:50 Machine learning Geometric topology Cluster analysis Data mining Differentiable manifold Manifold Principal component analysis Ricci curvature Unsupervised learning Statistics Multivariate statistics Data analysis
359	i Frank C Porter and Ilya Narsky: Statistical Analysis Techniques in Particle Physics — Chap. c01 — [removed] — page 1 — le-tex i Add to Reading List Source URL: www.wiley-vch.de Language: English - Date: 2013-10-08 04:01:30 Statistical classification Supervised learning Regression analysis Resampling Unsupervised learning Density estimation Nonparametric regression Statistics Machine learning Non-parametric statistics
360	Building High-level Features Using Large Scale Unsupervised Learning [removed] [removed] [removed] Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2012-07-12 02:17:19 Computational statistics Neural network Pattern recognition Supervised learning Unsupervised learning Caltech 101 Machine learning Artificial intelligence Learning

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