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Nonlinear dimensionality reduction
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#	Item
141	Learning Nonlinear Dynamic Models from Non-sequenced Data Tzu-Kuo Huang Machine Learning Department Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-20 16:35:49 Computational statistics Dimension Nonlinear dimensionality reduction Expectation–maximization algorithm Dynamical system Normal distribution Semidefinite embedding Lorenz attractor Statistics Multivariate statistics Dimension reduction
142	Learning Linear Dynamical Systems without Sequence Information Tzu-Kuo Huang [removed] Machine Learning Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA Jeff Schneider Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-20 16:37:43 Multivariate statistics Computational statistics Data analysis Expectation–maximization algorithm Normal distribution Semidefinite embedding Nonlinear dimensionality reduction Maximum likelihood Dynamical system Statistics Estimation theory Dimension reduction
143	arXiv:1209.1121v3 [cs.LG] 11 Sep[removed]Learning Manifolds with K-Means and K-Flats Guille D. Canas?,† Tomaso Poggio?,† Lorenzo A. Rosasco?,† Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-09-11 21:10:42 K-means clustering Voronoi diagram K-means++ Tangent space Nonlinear dimensionality reduction K q-flats Statistics Mathematics Computational statistics
144	Distributed Spectral Dimensionality Reduction for Visualizing Textual Data Sanjay Krishnan Electrical Engineering and Computer Sciences University of California-Berkeley Add to Reading List Source URL: ieor.berkeley.edu Language: English - Date: 2013-04-30 13:16:34 Multivariate statistics Information retrieval Machine learning Singular value decomposition Data analysis Nonlinear dimensionality reduction Spectral clustering Dimension reduction Principal component analysis Statistics Mathematics Information science
145	The Newsletter of the R Project News Volume 3/3, December 2003 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2004-10-04 04:59:11 Multivariate statistics Multidimensional scaling Nonlinear dimensionality reduction Sammon projection Principal component analysis Biplot Singular value decomposition Matrix Factor analysis Algebra Statistics Mathematics
146	Learning Parameterized Skills Bruno Castro da Silva [removed] Autonomous Learning Laboratory, Computer Science Dept., University of Massachusetts Amherst, 01003 USA. George Konidaris Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-08-29 16:33:32 Reinforcement learning Machine learning Support vector machine Nonlinear dimensionality reduction Linear regression Statistics Econometrics Regression analysis
147	Scalable k-NN graph construction for visual descriptors∗ Jing Wang† Jingdong Wang‡ Gang Zeng† Zhuowen Tu‡ § Rui Gan† Shipeng Li‡ † Peking University ‡Microsoft Research Asia § Lab of Neuro Imaging and Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-03-30 05:59:42 Dimension reduction Nearest neighbor graph Nearest neighbor search Nonlinear dimensionality reduction K-nearest neighbor algorithm Relative neighborhood graph Graph Planar separator theorem Path decomposition Graph theory Mathematics Search algorithms
148	Robust Feature Extraction via Information Theoretic Learning Xiao-Tong Yuan [removed] Bao-Gang Hu [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:28 Statistical theory Dimension reduction Regression analysis Principal component analysis Nonlinear dimensionality reduction Kernel principal component analysis Recursive least squares filter Iteratively reweighted least squares Kernel trick Statistics Multivariate statistics Singular value decomposition
149	The Elastic Embedding Algorithm for Dimensionality Reduction Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:36 Multivariate statistics Dimension reduction Dimension Nonlinear dimensionality reduction Eigenvalues and eigenvectors Semidefinite embedding Statistics Algebra Mathematics
150	Non-Isometric Manifold Learning: Analysis and an Algorithm Piotr Doll´ar PDOLLAR @ CS . UCSD . EDU Vincent Rabaud Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:14 Geometric topology Differential geometry Differential topology Mathematics Dimension reduction Nonlinear dimensionality reduction Isomap Manifold Differentiable manifold Statistics Topology Multivariate statistics

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