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Principal component analysis
Results: 1856

#	Item
211	Regularizers versus Losses for Nonlinear Dimensionality Reduction Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-12-26 22:59:57 Multivariate statistics Dimension reduction Matrix theory Computational statistics Linear algebra Nonlinear dimensionality reduction Bregman divergence Semidefinite embedding Principal component analysis Statistics Algebra Mathematics
212	HOW TO USE THE BLACK BOX by Keith T. Poole Graduate School of Industrial Administration Add to Reading List Source URL: www.voteview.com Language: English - Date: 2012-06-14 10:25:58 Matrix theory Singular value decomposition Numerical linear algebra Multivariate statistics Matrix Principal component analysis Eigenvalues and eigenvectors Diagonal matrix Factor analysis Algebra Linear algebra Mathematics
213	Large-Scale Manifold Learning Ameet Talwalkar Courant Institute New York, NY Sanjiv Kumar Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:24 Multivariate statistics Matrix theory Singular value decomposition Dimension reduction Nonlinear dimensionality reduction Isomap Semidefinite embedding Eigenvalues and eigenvectors Principal component analysis Algebra Mathematics Linear algebra
214	REPORTS 23; right 36, 13, and 27); superior frontal gyrus (left ⫺9, 31, and 45; right 17, 35, andAlthough the improvement in WM performance with cholinergic enhancement was a nonsignificant trend in the curre Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2009-08-14 05:08:08 Computational statistics Isomap Nonlinear dimensionality reduction Machine learning Multidimensional scaling Principal component analysis Manifold Geodesic Differentiable manifold Statistics Multivariate statistics Dimension reduction
215	On the Difficulty of Nearest Neighbor Search Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2012-06-12 10:12:20 Data analysis Numerical analysis Summary statistics Nearest neighbor search Locality-sensitive hashing Principal component analysis Normal distribution Curse of dimensionality Supervised learning Statistics Search algorithms Machine learning
216	Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference David Mimno Dept. of Information Science Cornell University Ithaca, NY, 14853 Add to Reading List Source URL: mimno.infosci.cornell.edu Language: English - Date: 2014-10-16 01:54:56 Multivariate statistics Statistical natural language processing Natural language processing Computational linguistics Dimension reduction Principal component analysis Nonlinear dimensionality reduction Latent Dirichlet allocation Randomized algorithm Statistics Mathematics Probability and statistics
217	A study of scale effect on specific sediment yield in the Loess Plateau, China Add to Reading List Source URL: www.lasg.ac.cn Language: English - Date: 2010-12-13 22:35:28 Estimation theory Bayesian statistics Weather prediction Data analysis Control theory Data assimilation Ensemble Kalman filter Singular value decomposition Principal component analysis Statistics Algebra Mathematics
218	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: ftp.cixug.es Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
219	Sparse Principal Component Analysis Hui Zou∗, Trevor Hastie†, Robert Tibshirani‡ April 26, 2004 Abstract Principal component analysis (PCA) is widely used in data processing and dimensionality Add to Reading List Source URL: www2.imm.dtu.dk Language: English - Date: 2009-07-15 04:52:49

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