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Data reduction
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#	Item
51	PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC, 121:1120–1138, 2009 October © 2009. The Astronomical Society of the Pacific. All rights reserved. Printed in U.S.A. Keck Interferometer Nuller Data Reduction an Add to Reading List Source URL: nexsci.caltech.edu Language: English - Date: 2015-12-01 16:40:41 Electromagnetism Observational astronomy Electrical engineering Electronic engineering Electric power Interference Phasor Trigonometry Power dividers and directional couplers Interferometry Nuller Group delay and phase delay
52	Using Micro-Reviews to Select an Efficient Set of Reviews ∗ Thanh-Son Nguyen Hady W. Lauw Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2014-11-29 11:00:58 Computational linguistics Natural language processing Theory of computation Automatic summarization Data mining Computational science Semantic similarity Statistics Reduction Recommender system Matching
53	An effective technique for solving optimization problems over massive data sets is to partition the data into smaller pieces, solve the problem on each piece and compute a representative solution from it, and finally obt Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Submodular set function Reduction Economic model Algorithm Mathematics Mathematical optimization Cognitive science Theoretical computer science
54	Ping Li Probabilistic Hashing for Efficient Search and Learning July 12, 2012 Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:30:07 Machine learning Learning Statistical classification Artificial intelligence Dimension reduction Support vector machine Random projection
55	Dimensionality reduction via sparse matrices Jelani Nelson Harvard June 17, 2014 Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-17 20:36:04 Mathematics Lemmas Metric geometry JohnsonLindenstrauss lemma Probability theory NC Big O in probability notation
56	Adaptively Learning the Crowd Kernel Omer Tamuz Microsoft Research New England and Weizmann Institute of Science Ce Liu Microsoft Research New England Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-05-05 21:16:05 Statistics Multivariate statistics Data analysis Machine learning Statistical classification Dimension reduction Support vector machine Multidimensional scaling Similarity measure Principal component analysis K-nearest neighbors algorithm Positive-definite kernel
57	Clustered factor analysis of multineuronal spike data Lars Buesing1 , Timothy A. Machado1,2 , John P. Cunningham1 and Liam Paninski1 1 Department of Statistics, Center for Theoretical Neuroscience & Grossman Center for Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:15 Statistics Applied mathematics Machine learning Cluster analysis Cybernetics Dimension reduction Computational neuroscience Mixture model K-means clustering Expectationmaximization algorithm Principal component analysis Artificial neural network
58	NTHMP Meeting Notes February 1, 2006 Jeff L. Introduced John Jones as the new NTHMP Chair John talked about the U.S. Expansion Effort & the OSTP Tsunami Risk Reduction A Framework for Action; stressing the framework wil Add to Reading List Source URL: nws.weather.gov Language: English - Date: 2016-04-20 11:08:50 Tsunami Warning systems Physical oceanography Pacific Tsunami Warning Center National Oceanic and Atmospheric Administration Teletsunami Emergency management Specific Area Message Encoding Flood National Data Buoy Center Federal Emergency Management Agency NOAA Center for Tsunami Research
59	NOTICE OF OFFICE OF MANAGEMENT AND BUDGET ACTION DateDepartment of Commerce National Oceanic and Atmospheric Administration FOR CERTIFYING OFFICIAL: Suzanne Hilding FOR CLEARANCE OFFICER: Diana Hynek Add to Reading List Source URL: cio.noaa.gov Language: English - Date: 2012-12-21 22:08:53 Recreational fishing Data collection Psychometrics Angling Questionnaire Fishing Paperwork Reduction Act Survey methodology
60	DATA QUALITY IMPLICATIONS OF RASTER GENERALIZATION Howard Veregin and Robert McMaster Department of Geography University of Minnesota 267-19thAveS,Rm414 Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-29 22:34:06 Machine learning Matrix Statistical classification Geographic information system Multivariate statistics Dimension reduction

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