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Matrix model
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61	Regional Research Institute Resource Document Series Integrating Input-Output and Life Cycle Assessment: Mathematical Foundations Add to Reading List Source URL: rri.wvu.edu Language: English - Date: 2014-03-25 12:56:33 Economic planning National accounts Production economics Industrial ecology Marxian economics Inputoutput model Life-cycle assessment Production Matrix Biomass IO Commodity
62	Details of our Motif Clustering Procedure 1 Bayesian Hierarchical Clustering Model The data for each discovered motif is a count matrix Ni which can have different widths and number of counts compared to other TF motifs. Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2005-07-21 15:44:40 Hierarchical clustering Network analysis Cluster analysis Probability distributions
63	MINING LARGE GRAPHS David F. Gleich, Michael W. Mahoney 1 introduction Graphs provide a general representation or data model for many types of data where pair-wise relationships are known or thought to be particularly im Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2016-03-04 00:35:25 Graph theory Algebraic graph theory Graph Neighbourhood Adjacency list Centrality Adjacency matrix Implicit graph Bipartite graph
64	hep-thUT-KOMABAAugust 1999 Generalized Conformal Symmetry and Oblique AdS/CFT Correspondence for Matrix Theory Add to Reading List Source URL: arabica.ecs.soton.ac.uk Language: English - Date: 2000-03-13 07:00:00 Physics Theoretical physics Quantum field theory String theory Conformal field theory Physics beyond the Standard Model Symmetry M-theory Anti-de Sitter space AdS/CFT correspondence Supergravity Conformal symmetry
65	CP Violation P. Kooijman & N. Tuning March 2010 The mirror on my wall Casts an image dark and small Add to Reading List Source URL: w3.iihe.ac.be Language: English - Date: 2011-04-20 04:13:17 Particle physics Standard Model Mesons Conservation laws Electroweak theory CP violation Kaon Parity Weak interaction CabibboKobayashiMaskawa matrix LHCb experiment Flavour
66	Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach Peter Beerli* and Joseph Felsenstein Department of Genetics, University of Washington, Add to Reading List Source URL: evolution.gs.washington.edu Language: English - Date: 2012-05-07 19:04:34 Statistics Statistical theory Statistical genetics Estimation theory Population genetics Coalescent theory M-estimators Maximum likelihood estimation Likelihood-ratio test Likelihood function Substitution model Confidence interval
67	Mobile Netw Appl DOIs11036Linear Representation of Network Traffic With Special Application to Wireless Workload Generation Stefan Karpinski · Elizabeth M. Belding · Add to Reading List Source URL: karpinski.org Language: English Computing Teletraffic Streaming Network management Network performance Computer networking Network architecture Telecommunications engineering Traffic flow Quality of service Traffic generation model Matrix
68	Non-Parametric Discrete Mixture Model Recovery via Nonnegative Matrix Factorization Stefan Karpinski, John R. Gilbert, Elizabeth M. Belding Department of Computer Science University of California, Santa Barbara {sgk,gilb Add to Reading List Source URL: karpinski.org Language: English - Date: 2016-04-13 16:19:52 Algebra Mathematics Matrix theory Linear algebra Multivariate statistics Non-negative matrix factorization KullbackLeibler divergence Probability distribution Singular value decomposition Mixture model Euclidean algorithm Matrix decomposition
69	Ruhr Graduate School in Economics University of Duisburg-Essen 9th Ruhr Graduate Summer School Essen, Germany Add to Reading List Source URL: www.rgs-econ.de Language: English - Date: 2013-05-23 03:34:34 Economics Economy Academia Computable general equilibrium Economic model Applied general equilibrium GTAP Macroeconomic model General equilibrium theory Paul Krugman New trade theory Social accounting matrix
70	Journal of Experimental Psychology: General 2016, Vol. 145, No. 1, 82–94 © 2016 American Psychological Association/$12.00 http://dx.doi.orgxge0000129 Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2016-01-05 19:05:51 Film Artificial intelligence Computer vision Semantics Image processing Categorization Cognition Knowledge representation Outline of object recognition The Matrix Convolutional neural network Bag-of-words model in computer vision

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