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Hierarchical matrix
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#	Item
11	Sweeping Preconditioner for the Helmholtz Equation: Hierarchical Matrix Representation BJÖRN ENGQUIST Department of Mathematics and ICES, University of Texas at Austin LEXING YING Add to Reading List Source URL: math.stanford.edu Language: English - Date: 2013-04-30 03:09:00
12	Instance-Wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters Add to Reading List Source URL: ijcai.org Language: English - Date: 2016-03-04 19:13:09 Mathematics Statistics Data analysis Cluster analysis Consensus clustering Non-negative matrix factorization K-means clustering Hierarchical clustering Spectral clustering Document clustering Graph partition Correlation clustering
13	Hierarchical Learning of Dimensional Biases in Human Categorization Adam Sanborn Gatsby Computational Neuroscience Unit University College London Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2009-12-15 22:15:42 Learning theory Cluster analysis Data analysis Mixture model Dimensional analysis Dimension Multivariate normal distribution Dirichlet process Covariance matrix Statistics Machine learning Concept learning
14	A Hierarchical Bayes based approach to ensemble-variational data assimilation M Tsyrulnikov and A Rakitko Motivation Add to Reading List Source URL: srnwp.met.hu Language: English - Date: 2014-10-27 11:08:29 Data analysis Monte Carlo methods Covariance and correlation Ensemble Kalman filter Covariance matrix Covariance Data assimilation Normal distribution Importance sampling Statistics Estimation theory Bayesian statistics
15	DATA CLUSTERING Algorithms and Applications Edited by Add to Reading List Source URL: www.charuaggarwal.net Language: English - Date: 2013-07-16 00:02:14 Document clustering Clustering high-dimensional data Non-negative matrix factorization Spectral clustering Correlation clustering K-means clustering K-medians clustering Hierarchical clustering BIRCH Statistics Cluster analysis Consensus clustering
16	Hierarchical Diagonal Blocking and Precision Reduction Applied to Combinatorial Multigrid∗ Guy E. Blelloch Ioannis Koutis Add to Reading List Source URL: ccom.uprrp.edu Language: English - Date: 2011-03-02 23:58:23 Numerical linear algebra Sparse matrices Nested dissection Matrix Cache-oblivious algorithm Loop nest optimization Diagonal matrix Band matrix Sparse matrix Algebra Linear algebra Mathematics
17	A Spectral Algorithm for Learning Class-Based n-gram Models of Natural Language Karl Stratos† Do-kyum Kim‡ Michael Collins† Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-06-19 15:16:39 Multivariate statistics Machine learning Linear algebra Matrix theory Cluster analysis Data mining Single-linkage clustering Hierarchical clustering K-means clustering Statistics Mathematics Algebra
18	➠ ➡ HIERARCHICAL CORRELATION COMPENSATION FOR HIDDEN MARKOV MODELS Hui Lin, Ye Tian, Jian-Lai Zhou, Hui Jiang** Dept. of Electronic Engineering, Tsinghua University, Beijing, China Add to Reading List Source URL: research.microsoft.com Language: English* - Date: 2009-08-10 10:41:28 Data analysis Algebra of random variables Summary statistics Covariance matrix Covariance Matrix Mixture model Linear discriminant analysis Hidden Markov model Statistics Covariance and correlation Multivariate statistics
19	A Hierarchical Approach for Dynamic Origin-Destination Matrix Estimation on Large-Scale Congested Networks Rodric Frederix, Francesco Viti, and Chris M. J. Tampère  Abstract— In this paper we propose a hierarchic Add to Reading List Source URL: www.mech.kuleuven.be Language: English* - Date: 2011-06-11 09:30:01 Route assignment Estimation theory Mathematical physics Transport Road transport Traffic congestion
20	LEARNING TO SEGMENT SONGS WITH ORDINAL LINEAR DISCRIMINANT ANALYSIS Brian McFee Daniel P.W. Ellis Center for Jazz Studies Add to Reading List Source URL: bmcfee.github.io Language: English - Date: 2015-03-31 11:15:28 Image processing Geostatistics Segmentation Cluster analysis Hierarchical clustering Non-negative matrix factorization Principal component analysis Market segmentation Machine learning Statistics Multivariate statistics Data analysis

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