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Information bottleneck method
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21	This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:20 Markov chain Expectation–maximization algorithm Kullback–Leibler divergence Probability distribution Probability Information bottleneck method Maximum-entropy Markov model Statistics Markov models Hidden Markov model
22	Proximity measures in the proxy package for R David Meyer February 6, 2010 1 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-02-19 19:01:55 Regression analysis Mathematics Statistical classification Covariance and correlation Information bottleneck method Least squares support vector machine Statistics Distance Length
23	ARTICLE Communicated by Pamela Reinagel Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2008-03-22 13:43:35 Nervous system Neural coding Neurophysiology Electrophysiology Spike-triggered average Information bottleneck method Spike-triggered covariance Neural network Neuron Computational neuroscience Biology Neuroscience
24	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
25	Probabilistic Models of Nonprojective Dependency Trees David A. Smith Department of Computer Science Center for Language and Speech Processing Johns Hopkins University Baltimore, MD[removed]USA Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2007-05-20 23:22:49 Maximum likelihood Expectation–maximization algorithm Bayes estimator Loss function Information bottleneck method Entailment Conditional random field Statistics Estimation theory Statistical theory
26	C:/temp/STD/Cluster/ICML_paper2010/icml_paper_280110.dvi Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:37 Cluster analysis Data analysis Data mining Geostatistics Information bottleneck method K-means clustering Hierarchical clustering Expectation–maximization algorithm Document clustering Statistics Multivariate statistics Machine learning
27	Disambiguating Web Appearances of People in a Social Network Ron Bekkerman Andrew McCallum Add to Reading List Source URL: www2005.org Language: English - Date: 2005-03-31 06:05:15 Data analysis Data mining Geostatistics Machine learning Information bottleneck method Document clustering Word-sense disambiguation Hierarchical clustering Consensus clustering Statistics Multivariate statistics Cluster analysis
28	Learning Distance Function by Coding Similarity Aharon Bar Hillel [removed] Intel research, IDC Matam 10, PO Box 1659 Matam Industrial Park, Haifa, Israel[removed]Daphna Weinshall Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:23:59 Information bottleneck method Information theory Kullback–Leibler divergence Normal distribution Shape context Mahalanobis distance Statistics Multivariate statistics Cluster analysis
29	Multi-Way Distributional Clustering via Pairwise Interactions Ron Bekkerman Dept. of Computer Science, University of Massachusetts, Amherst MA, 01003 USA [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:16:14 Information bottleneck method Bioinformatics Document clustering Biclustering Total correlation Hierarchical clustering Consensus clustering Statistics Multivariate statistics Cluster analysis
30	Hierarchical Co-Clustering Based on Entropy Splitting 1 Wei Cheng 1 , Xiang Zhang 2 , Feng Pan 3 , and Wei Wang 4 Department of Computer Science, University of North Carolina at Chapel Hill, Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2014-02-27 03:47:27 Cluster analysis Single-linkage clustering Hierarchical clustering Biclustering UPGMA Information bottleneck method Non-negative matrix factorization Statistics Multivariate statistics Bioinformatics

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