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Feature learning
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#	Item
521	Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. Devis Tuiaa , R´emi Flamaryb , Nicolas Courtyc b Laboratoire a Department of Geography, University of Zurich, Switz Add to Reading List Source URL: remi.flamary.com Language: English - Date: 2015-01-14 03:20:20 Infrared imaging Signal processing Filter Hyperspectral imaging Feature selection Support vector machine Linear classifier Electronic filter Statistics Statistical classification Spectroscopy
522	1300 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 11, NOVEMBER 1997 Joint Induction of Shape Features and Tree Classifiers Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-02-15 19:43:01 Statistics Binary trees Object recognition Pattern recognition Tree Statistical classification Feature selection Phylogenetic tree T-tree Machine learning Artificial intelligence Computer vision
523	1300 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 11, NOVEMBER 1997 Joint Induction of Shape Features and Tree Classifiers Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-02-01 17:05:00 Statistics Binary trees Object recognition Pattern recognition Tree Statistical classification Feature selection Phylogenetic tree T-tree Machine learning Artificial intelligence Computer vision
524	A Computational Model of Accelerated Future Learning through Feature Recognition Nan Li, William W. Cohen, and Kenneth R. Koedinger School of Computer Science Carnegie Mellon University 5000 Forbes Ave., Pittsburgh PA 15 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-03-18 16:47:58 Cognition Cybernetics Machine learning E-learning Educational psychology Education Learning Knowledge
525	BMC Bioinformatics BioMed Central Open Access Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-06-07 16:59:42 Statistical inference Dimension reduction Regression analysis Gene expression profiling Feature selection Stepwise regression Ridge Resampling Supervised learning Statistics Microarrays Gene expression
526	Single-Pass Online Learning: Performance, Voting Schemes and Online Feature Selection a Vitor R. Carvalhoa Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-07-05 11:59:21 Perceptron Naive Bayes classifier Machine learning Support vector machine Statistics Statistical classification Winnow
527	Saturday, December 7, 2002 techLEARNING.com \| Technology & Learning - The Resource for Education Technology Leaders Home > Magazine > Archives > October 2002 > Feature > Copyright Add to Reading List Source URL: www.halldavidson.org Language: English - Date: 2002-12-08 03:41:57 Data Copyright law of the United States Fair use Copyright Educational technology Law Copyright law Civil law
528	Learning a Meta-Level Prior for Feature Relevance from Multiple Related Tasks Su-In Lee Vassil Chatalbashev David Vickrey Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2007-08-28 13:50:20 Learning Supervised learning Relevance Cross-validation Prior probability Machine learning Statistics Science
529	Max-margin classification of incomplete data 2 Gal Chechik1 , Geremy Heitz2 , Gal Elidan1 , Pieter Abbeel 1 , Daphne Koller 1 Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2009-10-24 23:51:13 Artificial intelligence Support vector machine K-nearest neighbor algorithm Linear classifier Feature selection Supervised learning Enzyme Object recognition Binary classification Statistics Machine learning Statistical classification
530	Transformation-invariant Indexing and Machine Discovery for Computer Vision Add to Reading List Source URL: aaai.org Language: English - Date: 2006-01-11 02:43:25 Imaging 3D single object recognition Is-a Object recognition Invariant Concept learning Pose Scale-invariant feature transform Computer vision Artificial intelligence Vision

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