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Information bottleneck method
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#	Item
11	Power Iteration Clustering Frank Lin William W. Cohen Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA[removed]USA Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:47 Numerical linear algebra Multivariate statistics Linear algebra Matrix theory Singular value decomposition Spectral clustering Eigenvalues and eigenvectors Information bottleneck method Eigendecomposition of a matrix Algebra Mathematics Statistics
12	Understanding and Designing Complex Systems: Response to “A Framework for Optimal HighLevel Descriptions in Science and Engineering -- Preliminary Report” J. P. Crutchfield Add to Reading List Source URL: www.santafe.edu Language: English - Date: 2015-01-07 12:50:26 Thermodynamic entropy Chaos theory Theoretical physics Philosophy of thermal and statistical physics Entropy Information bottleneck method Causal sets Santa Fe Institute Complexity Science Knowledge Metaphysics
13	6.867 Machine learning, lecture 17 (Jaakkola) 1 Lecture topics: • Mixture models and clustering, k-means Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Estimation theory Cluster analysis Data mining Expectation–maximization algorithm K-means clustering Information bottleneck method Hierarchical clustering Mixture model Maximum likelihood Statistics Multivariate statistics Machine learning
14	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
15	Power Iteration Clustering Frank Lin William W. Cohen Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA[removed]USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-06 11:10:52 Numerical linear algebra Multivariate statistics Linear algebra Matrix theory Singular value decomposition Spectral clustering Eigenvalues and eigenvectors Information bottleneck method Eigendecomposition of a matrix Algebra Mathematics Statistics
16	Toward PAC-Learning of Weights from Qualitative Distance Information Add to Reading List Source URL: aaai.org Language: English - Date: 2006-01-11 08:20:13 Neural networks Group theory Linear algebra Vector space Probably approximately correct learning Logarithm Information bottleneck method CMA-ES Algebra Mathematics Multivariate statistics
17	A Very Fast Method for Clustering Big Text Datasets Frank Lin and William W. Cohen 1 Abstract. Large-scale text datasets have long eluded a family of particularly elegant and effective clustering methods that exploits th Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-21 12:59:27 Multivariate statistics Linear algebra Matrix theory Cluster analysis Data analysis Spectral clustering Information bottleneck method Eigenvalues and eigenvectors K-means clustering Algebra Statistics Mathematics
18	ITCH: Information-Theoretic Cluster Hierarchies Christian B¨ohm1 , Frank Fiedler1 , Annahita Oswald1 , Claudia Plant2 , Bianca Wackersreuther1 , and Peter Wackersreuther1 1 University of Munich, Munich, Germany {boehm,f Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-08-27 08:33:14 Cluster analysis Data mining Geostatistics Hierarchical clustering Information bottleneck method Segmentation OPTICS algorithm K-means clustering Single-linkage clustering Statistics Multivariate statistics Machine learning
19	August, 2013 CURRICULUM VITAE Add to Reading List Source URL: www.math.montana.edu Language: English - Date: 2013-08-28 19:16:48 Cybernetics Neural networks Interdisciplinary fields Computational neuroscience Mathematical and theoretical biology Artificial neural network Differential equation Lyapunov stability Information bottleneck method Statistics Science Dynamical systems
20	A Rate Distortion Approach for Semi-Supervised Conditional Random Fields Yang Wang†∗ Gholamreza Haffari†∗ † School of Computing Science Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2009-12-01 15:40:06 Information Mutual information Rate–distortion theory Supervised learning Information bottleneck method Conditional entropy Entropy Semi-supervised learning Conditional random field Information theory Machine learning Statistics

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