Unsupervised learning

Results: 431



#Item
341Expectation–maximization algorithm / Unsupervised learning / Convex optimization / Linear programming / Normal distribution / Support vector machine / Statistics / Mathematical optimization / Delayed column-generation

A Decoupled Approach to Exemplar-based Unsupervised Learning Sebastian Nowozin [removed] Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, 72076 T¨ ubingen, Germany G¨

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Source URL: www.machinelearning.org

Language: English - Date: 2008-05-22 03:57:04
342Image processing / Artificial intelligence / Computer vision / Data mining / Shape context / Cluster analysis / Segmentation / Object recognition / Template matching / Statistics / Information science / Machine learning

Unsupervised Discovery of Action Classes Yang Wang, Hao Jiang, Mark S. Drew, Ze-Nian Li and Greg Mori School of Computing Science Simon Fraser University Burnaby, BC, Canada {ywang12,hjiangb,mark,li,mori}@cs.sfu.ca

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Source URL: www.cs.sfu.ca

Language: English - Date: 2006-04-11 17:40:22
343Data mining / Geostatistics / Q-learning / Reinforcement learning / Consensus clustering / Unsupervised learning / Statistics / Machine learning / Cluster analysis

Dynamic Abstraction in Reinforcement Learning via Clustering Shie Mannor [removed] Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA[removed]Ishai Menache

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:20:58
344

Painless Unsupervised Learning with Features Taylor Berg-Kirkpatrick Alexandre Bouchard-Côté John DeNero Dan Klein

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2010-06-15 21:33:02
    345Data analysis / Data mining / Geostatistics / Hierarchical clustering / Single-linkage clustering / Unsupervised learning / K-means clustering / Document clustering / Nearest-neighbor chain algorithm / Statistics / Machine learning / Cluster analysis

    Journal of Machine Learning Research () Submitted ; Published Robust Hierarchical Clustering∗ Maria-Florina Balcan

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    Source URL: www.cs.cmu.edu

    Language: English - Date: 2014-07-13 17:01:00
    346Neural networks / Perceptron / Supervised learning / Unsupervised learning / Reinforcement learning / Expected value / Artificial neural network / Machine learning / Artificial intelligence / Learning

    ————————————————————————————————————— Learning From Data Caltech http://work.caltech.edu/telecourse Self-paced version —————————

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    Source URL: work.caltech.edu

    Language: English - Date: 2013-06-11 20:22:50
    347Machine learning / K-means clustering / Computer cluster / Centroid / Cluster chemistry / Unsupervised learning / Computing / Geometry / Statistics

    Unsupervised learning or Clustering – K-means Gaussian mixture models Machine Learning – [removed]Carlos Guestrin

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    Source URL: www.cs.cmu.edu

    Language: English - Date: 2007-04-03 22:58:30
    348Microarrays / Dimension reduction / Statistical classification / Principal component analysis / Unsupervised learning / DNA microarray / Pattern recognition / Supervised learning / Prostate cancer / Statistics / Machine learning / Multivariate statistics

    Using deep learning to enhance cancer diagnosis and classification Rasool Fakoor Faisal Ladhak Azade Nazi Manfred Huber

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    Source URL: learnlab.uta.edu

    Language: English - Date: 2013-06-18 00:11:44
    349Computer vision / Statistical classification / Linear classifier / Caltech 101 / Pattern recognition / Supervised learning / Support vector machine / Yann LeCun / Unsupervised learning / Machine learning / Statistics / Artificial intelligence

    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,

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    Source URL: cs.nyu.edu

    Language: English - Date: 2009-07-16 09:28:03
    350Yann LeCun / Pattern recognition / Supervised learning / Linear classifier / Support vector machine / Statistical classification / Unsupervised learning / Competitive learning / Machine learning / Statistics / Artificial intelligence

    Large-Scale FPGA-based Convolutional Networks Cl´ement Farabet1 , Yann LeCun1 , Koray Kavukcuoglu1 , Eugenio Culurciello2 , Berin Martini2 , Polina Akselrod2 , Selcuk Talay2 1. The Courant Institute of Mathematical Scie

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    Source URL: yann.lecun.com

    Language: English - Date: 2011-06-20 19:03:29
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