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Multivariate mutual information
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11	Comparing Clusterings – an information based distance Marina Meil˘a ∗ Abstract Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2011-06-08 14:01:05 Multivariate statistics Data mining Geostatistics Fowlkes–Mallows Index Variation of information Rand index Consensus clustering Adjusted mutual information Statistics Machine learning Cluster analysis
12	STAT 538 Homework 1 Out January 14, 2015 Due January 20, 2015 c Marina Meil˘a Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-15 01:06:00 Mutual information Entropy Normal distribution Kullback–Leibler divergence Multivariate normal distribution Markov chain Conditional independence Independence Conditional mutual information Statistics Information theory Probability and statistics
13	STAT 538 Lecture 4.0 Independence and conditional independence c Marina Meil˘a [removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-27 12:59:57 Independence Bayesian network Conditional probability Conditional independence Markov random field Graphical model Mutual information Joint probability distribution Multivariate normal distribution Probability theory Statistics Probability
14	Kernel Measures of Independence for non-iid Data∗ Le Song† School of Computer Science Carnegie Mellon University, Pittsburgh, USA [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-06-21 14:46:49 Multivariate statistics Statistical dependence Estimation theory Expectation–maximization algorithm Missing data Covariance Mutual information Convolution Principal component analysis Statistics Mathematical analysis Covariance and correlation
15	Enhanced Word Clustering for Hierarchical Text Classification Inderjit S. Dhillon Subramanyam Mallela Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2004-08-30 17:29:42 Formal sciences Cluster analysis Data mining Geostatistics Information bottleneck method Kullback–Leibler divergence K-means clustering Pattern recognition Mutual information Statistics Machine learning Multivariate statistics
16	Gradient of Mutual Information in Linear Vector Gaussian Channels Daniel P. Palomar and Sergio Verd´u Dept. of Electrical Engineering Princeton University Engineering Quadrangle, Princeton, NJ 08544, USA Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2006-02-03 09:25:48 Signal processing Information theory Minimum mean square error Covariance matrix Covariance Fisher information Matrix Orthogonality principle Multivariate normal distribution Statistics Estimation theory Covariance and correlation
17	[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-02-17 18:22:06 Multivariate normal distribution Normal distribution Kullback–Leibler divergence Covariance matrix Conditional mutual information Conditional entropy Mutual information Joint probability distribution Statistical classification Statistics Information theory Naive Bayes classifier
18	This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 7, NO. 3, JULY[removed]R Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:11:55 Imaging Machine learning Spectroscopy Support vector machine Feature selection Kernel methods Mutual information Reproducing kernel Hilbert space Kernel Statistics Statistical classification Multivariate statistics
19	Independent Component Analysis of High-density Scalp EEG Recordings Jason Palmer1, Scott Makeig1, Arnaud Delorme1, Julie Onton1, Zeynep Akalin Acar1, Ken Kreutz-Delgado2, Bhaskar D. Rao2 1Swartz Add to Reading List Source URL: sccn.ucsd.edu Language: English - Date: 2010-06-23 15:41:21 Multivariate statistics Data analysis EEGLAB Independent component analysis Maximum likelihood Mutual information Electroencephalography Matrix Eigenvalues and eigenvectors Statistics Algebra Mathematics
20	arXiv:0801.0311v1 [q-bio.NC] 2 Jan[removed]Comparison of objective functions for estimating linear-nonlinear models Tatyana O. Sharpee Computational Neurobiology Laboratory, Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2008-03-22 13:43:38 Multivariate statistics Statistical theory Information theory Kullback–Leibler divergence Divergence Normal distribution Information bottleneck method Mutual information Spike-triggered average Statistics Computational neuroscience Neuroscience

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