Kernel principal component analysis

Results: 128



#Item
11Multivariate statistics / Dimension reduction / Geostatistics / Functional analysis / Linear algebra / Dimensionality reduction / Principal component analysis / Nonlinear dimensionality reduction / K-nearest neighbors algorithm / Cluster analysis / Kernel method / Linear discriminant analysis

DSP: Robust Semi-Supervised Dimensionality Reduction using Dual Subspace Projections Su Yan∗ Sofien Bouaziz Dongwon Lee IBM Almaden Research Center Ecole Polytechnique F´ed´erale de Lausanne Pennsylvania State Univer

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Source URL: sofienbouaziz.com

Language: English - Date: 2015-11-19 01:50:34
12Linear algebra / Functional analysis / Multivariate statistics / Statistical classification / Operator theory / Normal distribution / Linear discriminant analysis / Kernel method / Kernel principal component analysis / Distribution / Radial basis function kernel / Positive-definite kernel

1 Kernel Optimization in Discriminant Analysis Di You, Onur C. Hamsici and Aleix M. Martinez Dept. Electrical and Computer Engineering The Ohio State University, Columbus, OH 43210

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Source URL: www2.ece.ohio-state.edu

Language: English - Date: 2010-07-14 17:50:50
13Statistics / Nonparametric statistics / Statistical tests / Statistical inference / Means / Multivariate statistics / Principal component analysis / Resampling / Z-test / Bootstrapping / Positive-definite kernel / KolmogorovSmirnov test

spectralNullDistrib_final_long.dvi

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Source URL: select.cs.cmu.edu

Language: English - Date: 2009-11-08 23:50:48
14Multivariate statistics / Statistics / Machine learning / Learning / Statistical classification / Dimension reduction / Linear algebra / Non-negative matrix factorization / Support vector machine / Kernel principal component analysis / Principal component analysis / Nonlinear dimensionality reduction

Microsoft Word - han_giw_2008_final.doc

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Source URL: www.jsbi.org

Language: English - Date: 2008-12-14 08:36:37
15Cluster analysis / Data analysis / Estimation theory / Expectation–maximization algorithm / Dirichlet process / Variational Bayesian methods / Mixture model / Principal component analysis / Kernel principal component analysis / Statistics / Multivariate statistics / Machine learning

Incremental Learning of Nonparametric Bayesian Mixture Models Ryan Gomes∗ Max Welling† ∗

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Source URL: www.ics.uci.edu

Language: English - Date: 2008-04-09 01:39:03
16Multivariate statistics / Singular value decomposition / Linear algebra / Matrix theory / Information retrieval / Latent semantic indexing / Spectral clustering / Principal component analysis / Kernel principal component analysis / Statistics / Algebra / Mathematics

Large Scale Machine Learning

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Source URL: www.sanjivk.com

Language: English - Date: 2010-09-25 15:14:57
17Multivariate statistics / Data analysis / Singular value decomposition / Matrix theory / Principal component analysis / Kernel principal component analysis / Factor analysis / Eigenvalues and eigenvectors / Variance / Statistics / Algebra / Linear algebra

MainGorbanKeglWunschZin.dvi

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Source URL: pca.narod.ru

Language: English - Date: 2013-04-03 13:25:16
18Multivariate statistics / Hilbert space / Kernel trick / Positive-definite kernel / Linear map / Projection / Normal distribution / Principal component analysis / Random variable / Statistics / Mathematical analysis / Mathematics

Compact Random Feature Maps Raffay Hamid eBay Research Laboratory

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Source URL: www.raffayhamid.com

Language: English - Date: 2014-05-12 17:50:54
19Protein-protein interaction assays / Molecular biology / Gene expression / STRING / Kernel principal component analysis / Transcription factor / Two-hybrid screening / Protein–protein interaction prediction / Structural genomics / Biology / Systems biology / Bioinformatics

Vol. 1 noPages 1–8 BIOINFORMATICS Protein Network Inference from Multiple Genomic

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Source URL: www.bioreg.kyushu-u.ac.jp

Language: English - Date: 2012-03-14 12:45:12
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