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Multivariate statistics
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#	Item
121	Multi-objective Genetic Programming for Visual Analytics Ilknur Icke1 and Andrew Rosenberg1,2 1 The Graduate Center, The City University of New York, Add to Reading List Source URL: eniac.cs.qc.cuny.edu Language: English - Date: 2011-03-10 09:53:36 Multivariate statistics Dimension reduction Statistical classification Machine learning Principal component analysis Dimensionality reduction K-nearest neighbors algorithm Feature extraction Curse of dimensionality Linear discriminant analysis Multidimensional scaling Kernel principal component analysis
122	Latent Outlier Detection and the Low Precision Problem Fei Wang, Sanjay Chawla and Didi Surian University of Sydney Add to Reading List Source URL: www.outlier-analytics.org Language: English - Date: 2013-08-13 08:05:46 Linear algebra Matrix theory Multivariate statistics Robust statistics Non-negative matrix factorization Outlier Singular value decomposition
123	Tilburg centre for Creative Computing Tilburg University http://www.uvt.nl/ticc P.O. BoxLE Tilburg, The Netherlands Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Machine learning Computational statistics Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Principal component analysis Kernel principal component analysis Semidefinite embedding Kernel method
124	CS168: The Modern Algorithmic Toolbox Lecture #7: Understanding and Using Principal Component Analysis (PCA) Tim Roughgarden & Gregory Valiant∗ April 18, 2016 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:44 Multivariate statistics Dimension reduction Abstract algebra Linear algebra Analytic geometry Principal component analysis Dimensionality reduction Eigenvalues and eigenvectors Linear regression Euclidean vector Degrees of freedom Eigenface
125	Sliding Tolerance 3-D Point Reduction for Globograms Steven Prashker Cartographic Research Unit Department of Geography Carleton University Ottawa, Ontario, Canada K1S 5B6 Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-30 00:55:15 Reduction Multivariate statistics Map projection Plane Coordinate system Rasterisation Nonlinear dimensionality reduction K-nearest neighbors algorithm
126	Methods in Ecology and Evolution 2015, 6, 412–423 doi: 210XSPECIAL FEATURE NEW OPPORTUNITIES AT THE INTERFACE BETWEEN ECOLOGY AND STATISTICS Add to Reading List Source URL: prism.nacse.org Language: English - Date: 2015-04-13 19:30:57 Regression analysis Linear regression Regression dilution Logistic regression Statistics Prediction Dependent and independent variables Generalized linear model Errors and residuals Observational error Multivariate adaptive regression splines
127	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 Add to Reading List Source URL: sofienbouaziz.com Language: English - Date: 2015-11-19 01:50:34 Multivariate 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
128	Effective Multi-Modal Retrieval based on Stacked Auto-Encoders Wei Wang† , Beng Chin Ooi† , Xiaoyan Yang‡ , Dongxiang Zhang† , Yueting Zhuang§ †School of Computing, National University of Singapore, Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-02-05 09:31:17 Machine learning Artificial neural networks Multivariate statistics Deep learning Feature learning Autoencoder KeY K-nearest neighbors algorithm Dimensionality reduction
129	Chapter 6 Constructs, Components, and Factor models Parsimony of description has been a goal of science since at least the famous dictum commonly attributed to William of Ockham to not multiply entities beyond necessity Add to Reading List Source URL: personality-project.org Language: English - Date: 2011-08-17 18:07:44 Covariance and correlation Factor analysis Multivariate statistics Regression analysis Linear algebra Principal component analysis Eigenvalues and eigenvectors Covariance matrix Matrix Exploratory factor analysis Singular value decomposition Multiple correlation
130	Algorithms for Non-negative Matrix Factorization Daniel D. Lee* BelJ Laboratories Lucent Technologies Add to Reading List Source URL: papers.nips.cc Language: English* - Date: 2014-04-15 02:01:26 Matrix theory Multivariate statistics Linear algebra Non-negative matrix factorization Matrix Derivative KullbackLeibler divergence Divergence PerronFrobenius theorem Convolution Principal component analysis

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