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SubSpace
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#	Item
201	Machine Learning, 45, 5–32, 2001 c 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. Random Forests LEO BREIMAN Add to Reading List Source URL: www.islab.ntua.gr Language: English - Date: 2015-02-05 08:23:19 Random forest AdaBoost Boosting Variance Feature selection Correlation and dependence Statistical classification Cross-validation Random subspace method Machine learning Statistics Ensemble learning
202	Pattern-Guided k-Anonymity Add to Reading List Source URL: fpt.akt.tu-berlin.de Language: English - Date: 2013-10-21 04:21:43 Matrix Euclidean vector Rank Euclidean subspace Algebra Mathematics Linear algebra
203	A Note on Subspace Evasive Sets Add to Reading List Source URL: cjtcs.cs.uchicago.edu Language: English - Date: 2014-11-30 16:35:17 Projection Essential range Ε-quadratic form Mathematical analysis Functional analysis Mathematics
204	Convex Multi-view Subspace Learning Martha White, Yaoliang Yu, Xinhua Zhang∗ and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {whitem,yaoliang,xinhua2,dale}@cs.ua Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-11-10 01:57:58 Group theory Vector space Vectors Algebra Mathematics Linear algebra
205	Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions Xinhua Zhang Yaoliang Yu Martha White Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-04-07 16:29:24 Eigenvalues and eigenvectors Singular value decomposition Vector space Matrix norm Lp space Algebra Mathematics Linear algebra
206	CS 1173: MATLAB sum function The sum function returns the sum along an array dimension. B = sum(A, dim) resulting sum Add to Reading List Source URL: www.cs.utsa.edu Language: English - Date: 2012-09-03 20:54:14 Linear algebra Array programming MATLAB Parameter Dimension Euclidean subspace Connected sum Algebra Mathematics Software
207	Semi-supervised Multi-label Classification: A Simultaneous Large-margin, Subspace Learning Approach Yuhong Guo and Dale Schuurmans 1 Department of Computer and Information Sciences Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:24:14 Machine learning Mathematical optimization Functional analysis Econometrics Convex analysis Convex optimization Supervised learning Semi-supervised learning Loss function Algebra Mathematics Linear algebra
208	Simulating Articulated Subspace Self-Contact Yun Teng∗ University of California, Santa Barbara Miguel A. Otaduy† URJC Madrid Add to Reading List Source URL: www.mat.ucsb.edu Language: English - Date: 2014-05-09 17:03:47 Computational physics Video game development Numerical analysis Numerical integration Collision detection Collision Projection Subspace topology Physics Mathematics Mathematical analysis
209	Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering Yao-Liang Yu Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2011-08-15 14:30:00 Matrix theory Functional analysis Operator theory Numerical linear algebra Singular value decomposition Matrix norm Projection Trace Rank Algebra Mathematics Linear algebra
210	1 RANDOM FORESTS Leo Breiman Statistics Department Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2012-04-21 09:42:39 AdaBoost Confidence interval Boosting Variance Random subspace method Statistics Ensemble learning Random forest