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Multivariate
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#	Item
251	Discovering Relations using Matrix Factorization Methods Ervina Cergani∗ Pauli Miettinen Max-Planck-Institut für Informatik Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2013-09-03 10:49:56 Linear algebra Matrix theory Multivariate statistics Non-negative matrix factorization Matrix K-means clustering Logical matrix Rank Ring
252	Searching for information hidden in multivariate data Mgr. Radoslav Harman, PhD. Department of Applied Mathematics and Statistics Faculty of Mathematics, Physics and Informatics Comenius University Bratislava Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2011-05-02 15:34:17 Multivariate statistics Probability distributions Covariance and correlation Stable distributions Algebra of random variables Principal component analysis Multivariate normal distribution Covariance matrix Multivariate random variable Eigenvalues and eigenvectors Vector Eigenface
253	42 AGRICULTURAL ECO+OMICS REVIEW Do Caring Services Affect Off-Farm Work? Evidence from Italy Add to Reading List Source URL: www.eng.auth.gr Language: English - Date: 2010-02-08 05:32:49 Regression analysis Probit model Probit Labour economics Multivariate probit model Family economics Statistics Off-farm income Unemployment Farm
254	Goodwin, S., Dykes, J., Slingsby, A. & Turkay, CVisualizing Multiple Variables Across Scale and Geography. IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visual Analytics Science a Add to Reading List Source URL: openaccess.city.ac.uk Language: English - Date: 2015-11-26 04:07:16 Covariance and correlation Econometrics Correlation and dependence Independence Spatial analysis Scatter plot Summary statistics Multivariate statistics Geodemography Regression analysis Exploratory data analysis Data analysis
255	UNIVERSITY OF CALIFORNIA RIVERSIDE Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2016-03-21 12:22:45 Stochastic processes Graphical models Markov processes Bayesian network Networks Uniformization Probability distribution Algorithm Statistical inference Approximate inference Statistics Matrix
256	Genome Informatics 13: 61–Extraction of Organism Groups from Phylogenetic Profiles Using Independent Component Analysis Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-09 05:53:38 Multivariate statistics Phylogenetics Molecular biology Biological databases Genetics Independent component analysis KEGG Factor analysis Principal component analysis Homology Bioinformatics Organism
257	Adaptive Collective Routing Using Gaussian Process Dynamic Congestion Models Siyuan Liu, Yisong Yue, Ramayya Krishnan Carnegie Mellon University {siyuan,yisongyue,rk2x}@cmu.edu Add to Reading List Source URL: www.utc.ices.cmu.edu Language: English - Date: 2014-10-10 12:11:58 Algebra of random variables Covariance and correlation Routing Covariance Shortest path problem Multivariate statistics Kalman filter
258	LOCOCODE versus PCA and ICA Sepp Hochreiter Technische Universitat MunchenMunchen, Germany Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:18:32 Multivariate statistics Artificial neural networks Signal processing Dimension reduction Computational neuroscience Principal component analysis Independent component analysis Sepp Hochreiter Autoencoder Backpropagation
259	This article was downloaded by:[Mitteroecker, Philipp] On: 11 October 2007 Access Details: [subscription numberPublisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 107295 Add to Reading List Source URL: theoretical.univie.ac.at Language: English - Date: 2011-02-01 15:41:21 Covariance and correlation Regression analysis Multivariate statistics Factor analysis Psychometrics Principal component analysis Covariance G factor Exploratory factor analysis Correlation and dependence Morphometrics Partial least squares regression
260	NONLINEAR ICA THROUGH LOW-COMPLEXITY AUTOENCODERS Sepp Hochreiter J¨urgen Schmidhuber Fakult¨at f¨ur Informatik Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:21:57 Multivariate statistics Artificial neural networks Signal processing Dimension reduction Computational neuroscience Independent component analysis Factorial code Principal component analysis Machine learning Self-organizing map Sepp Hochreiter Deep learning

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