Principal value

Results: 874



#Item
781Singular value decomposition / Data analysis / Psychometrics / Factor analysis / Principal component analysis / Dynamic factor / Eigenvalues and eigenvectors / Vector autoregression / Von Neumann algebra / Statistics / Multivariate statistics / Econometrics

Detecting Big Structural Breaks in Large Factor Models∗ Liang Chen† Juan J. Dolado‡ Jesús Gonzalo§

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Source URL: www.eco.uc3m.es

Language: English - Date: 2013-10-08 04:04:07
782Principal component analysis / Singular value decomposition / Kernel principal component analysis / Statistics / Multivariate statistics / Data analysis

The Fast Convergence of Incremental PCA Akshay Balsubramani UC San Diego [removed]

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Source URL: cseweb.ucsd.edu

Language: English - Date: 2013-11-09 09:11:35
783Multivariate statistics / Data analysis / Linear algebra / Matrix theory / Singular value decomposition / Multiple correspondence analysis / Principal component analysis / Factor analysis / Eigenvalues and eigenvectors / Algebra / Statistics / Mathematics

Multiple Correspondence Analysis Hervé Abdi1 & Dominique Valentin

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Source URL: wwwpub.utdallas.edu

Language: English - Date: 2009-08-11 16:20:50
784Singular value decomposition / Smithsonian Tropical Research Institute / Economics / International trade / Economic theories / Data analysis / Principal component analysis

World Trade Review http://journals.cambridge.org/WTR Additional services for World Trade Review: Email alerts: Click here Subscriptions: Click here Commercial reprints: Click here

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Source URL: lionel.fontagne.free.fr

Language: English - Date: 2013-03-15 02:10:35
785CPD / Value added tax / VAT identification number

JBCC Edition 6.0 (Principal Building & N/S Sub-Agreements) Seminar REGISTRATION FORM – 04 JUNE 2014

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Source URL: www.fsia.co.za

Language: English - Date: 2014-05-07 10:03:13
786Mathematics / Singular value decomposition / Statistical inference / Hypothesis testing / Linear algebra / Point distribution model / Principal component analysis / Eigenvalues and eigenvectors / Active appearance model / Statistics / Algebra / Computer vision

PARAMETER OPTIMIZATION FOR ACTIVE SHAPE MDOELS Chun Chen1* 1 Ming Zhao1

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Source URL: www.mingzhao.name

Language: English - Date: 2009-04-24 01:57:41
787Matrix theory / Numerical linear algebra / Singular value decomposition / Multivariate statistics / Principal component analysis / Matrix / Rank / Non-negative matrix factorization / Sparse matrix / Algebra / Linear algebra / Mathematics

2012 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 23–26, 2012, SANTANDER, SPAIN PROBABILISTIC INTERPOLATIVE DECOMPOSITION ˙ Ismail Arı, A. Taylan Cemgil, Lale Akarun

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Source URL: www.cmpe.boun.edu.tr

Language: English - Date: 2012-09-18 05:13:56
788Matrix theory / Singular value decomposition / Statistical classification / Functional analysis / Eigenvalues and eigenvectors / Eigendecomposition of a matrix / Support vector machine / Matrix / Principal component analysis / Algebra / Mathematics / Linear algebra

Quantum support vector machine for big feature and big data classification Patrick Rebentrost,1, ∗ Masoud Mohseni,2 and Seth Lloyd3, † 1 arXiv:1307.0471v2 [quant-ph] 10 Jul 2013

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Source URL: arxiv.org

Language: English - Date: 2013-07-10 20:34:44
789Singular value decomposition / Covariance and correlation / Statistical inference / Maximum likelihood / Principal component analysis / Multivariate normal distribution / Mixture model / Expectation–maximization algorithm / Covariance matrix / Statistics / Estimation theory / Data analysis

Clustering by Local Skewering∗ David W. Scott Department of Statistics Rice University, Houston, Texas[removed]http://www.stat.rice.edu/∼scottdw March 31, 2005

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Source URL: www.stat.rice.edu

Language: English - Date: 2005-03-31 16:32:38
790Principal component analysis / Nonlinear dimensionality reduction / Dimension reduction / Non-negative matrix factorization / Kullback–Leibler divergence / Markov decision process / Singular value decomposition / Divergence / Kernel principal component analysis / Statistics / Multivariate statistics / Partially observable Markov decision process

in Advances in Neural Information Processing Systems 15 S. Becker, S. Thrun and K. Obermayer (eds.), MIT Press[removed]Exponential Family PCA for Belief Compression in POMDPs

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Source URL: www.cs.cmu.edu

Language: English - Date: 2003-06-04 12:36:51
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