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Dimension reduction
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221	VAERS Vaccine Safety Bibliography MarchInfluenza Vaccination Cost Effective in U.S. Adults. Geriatrics; 61 (2): 14; February, 2006. Link to PubMed abstract: Add to Reading List Source URL: vaers.hhs.gov Language: English - Date: 2008-09-09 10:12:32 Data mining Dimension reduction Multifactor dimensionality reduction CWP2 Biology Bioinformatics Science
222	Center for Robotics and Embedded Systems Technical Report Localization from Pairwise Distance Relationships using Kernel PCA Odest Chadwicke Jenkins 1 Add to Reading List Source URL: cres.usc.edu Language: English - Date: 2003-05-03 13:03:59 Nonlinear dimensionality reduction Dimension reduction Isomap Kernel principal component analysis Multidimensional scaling Distance matrix Eigenvalues and eigenvectors Principal component analysis Statistics Multivariate statistics Algebra
223	Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning Daniel Tarlow† Microsoft Research Cambridge Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-10 18:43:05 Multivariate statistics Search algorithms Dimension reduction Neighbourhood components analysis K-nearest neighbor algorithm Statistical classification Nonlinear dimensionality reduction Large margin nearest neighbor Supervised learning Statistics Machine learning Artificial intelligence
224	Bibliography of Self-Organizing Map (SOM) Papers: Addendum Merja Oja, Samuel Kaski, Teuvo Kohonen Helsinki University of Technology, Neural Networks Research Centre, P.O. Box 5400, FINHUT, FINLAND Abstra Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2010-01-04 03:50:18 Self-organizing map Computational linguistics Timo Honkela Speech recognition SOM Uzbekistani som Science Statistics Humanâ€“computer interaction Neural networks Dimension reduction Teuvo Kohonen
225	Improving the Accuracy of Decision Tree Induction by Feature Pre-Selection Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:20:34 Decision trees Dimension reduction Feature selection Model selection Search algorithms C4.5 algorithm Algorithm Pattern recognition K-nearest neighbor algorithm Machine learning Artificial intelligence Mathematics
226	Tangent-Corrected Embedding Ali Ghodsi, Jiayuan Huang University of Waterloo Abstract Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 20:35:42 Multivariate statistics Differential geometry Differential topology Abstract algebra Linear algebra Nonlinear dimensionality reduction Isomap Manifold Dimension reduction Algebra Statistics Mathematics
227	a Jenkins et al. – USC Center for Robotics and Embedded Systems Technical Report, 2004. Nonlinear Spherical Shells for Approximate Principal Curves Skeletonization Add to Reading List Source URL: cres.usc.edu Language: English - Date: 2006-01-02 09:14:42 Computational statistics Array programming languages Data analysis Nonlinear dimensionality reduction Isomap MATLAB Principal component analysis Skeleton Statistics Multivariate statistics Dimension reduction
228	JMLR: Workshop and Conference Proceedings 29:1–16, 2013 ACML 2013 Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-11-09 20:30:18 Dimension reduction Differential topology Computational statistics Nonlinear dimensionality reduction Normal distribution Manifold Differentiable manifold Principal component analysis Divergence Statistics Multivariate statistics Data analysis
229	Empirical Evaluation of Feature Subset Algorithms based on a Real-World Data Set Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:20:43 Statistics Dimension reduction C4.5 algorithm Feature selection K-nearest neighbor algorithm Pattern recognition Feature extraction Ross Quinlan Random forest Machine learning Artificial intelligence Decision trees
230	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: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:24:23 Multivariate statistics Dimension reduction Matrix theory Computational statistics Linear algebra Nonlinear dimensionality reduction Bregman divergence Semidefinite embedding Principal component analysis Statistics Algebra Mathematics

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