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Expectation value
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11	Supplemental Material 1. Why DISP estimation requires that dQmax  4 (One-dimensional case) The Least Squares (LS) estimate of the expectation value E(x) of a scalar random variable x is simply the average of its n obs Add to Reading List Source URL: www.atmos-meas-tech.net Language: English - Date: 2014-12-03 12:04:55
12	Discovering Affine Equalities Using Random Interpretation Sumit Gulwani George C. Necula University of California, Berkeley {gulwani,necula}@cs.berkeley.edu Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2010-10-29 12:59:19 Dimension Affine space Affine arithmetic Expected value Randomized algorithm Affine connection Conditional expectation Affine geometry Mathematics Mathematical analysis
13	JMLR: Workshop and Conference Proceedings 34:64–78, 2014 Proceedings of the 12th ICGI Some improvements of the spectral learning approach for probabilistic grammatical inference Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-08-26 06:56:50 Numerical linear algebra Matrix theory Markov models Group theory Singular value decomposition Low-rank approximation Expectation–maximization algorithm Markov chain Vector space Algebra Mathematics Linear algebra
14	Multi-View Super Vector for Action Recognition Zhuowei Cai1 , Limin Wang1,2 , Xiaojiang Peng1 , Yu Qiao1,2∗ 1 Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, CAS Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2014-05-18 15:54:05 Multivariate statistics Vector calculus Singular value decomposition Estimation theory Expectation–maximization algorithm Missing data Principal component analysis Mixture model Eigenvalues and eigenvectors Statistics Algebra Mathematics
15	Multi-View Clustering via Canonical Correlation Analysis Kamalika Chaudhuri ITA, UC San Diego, 9500 Gilman Drive, La Jolla, CA Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-01-01 02:41:48 Machine learning Cluster analysis Data mining K-means clustering Principal component analysis Hierarchical clustering Expectation–maximization algorithm Mixture model Singular value decomposition Statistics Multivariate statistics Data analysis
16	Promoting good practice and the expectation of good practice in mentoring and coaching across Europe September Add to Reading List Source URL: www.emccouncil.org Language: English - Date: 2013-03-28 01:38:53 Earth Cal Calendaring software Value added tax European Union value added tax Luxembourg Julian calendar Europe Political geography
17	Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering University of California, San Diego Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2012-12-11 16:44:36 Statistical classification Data analysis Principal component analysis Singular value decomposition Linear classifier K-nearest neighbor algorithm Dimension reduction Linear discriminant analysis Expectation–maximization algorithm Statistics Multivariate statistics Machine learning
18	LNCSAutomatic Rank Determination in Projective Nonnegative Matrix Factorization Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-09-03 10:14:17 Matrix theory Multivariate statistics Singular value decomposition Non-negative matrix factorization Principal component analysis Eigenvalues and eigenvectors Rank Expectation–maximization algorithm Matrix decomposition Algebra Mathematics Linear algebra
19	Journal of Artificial Intelligence Research–821 Submitted 11/08; publishedConservative Inference Rule for Uncertain Reasoning under Incompleteness Add to Reading List Source URL: jair.org Language: English - Date: 2009-04-29 19:07:48 Functions and mappings Statistics Bayesian statistics Conditional expectation Independence Function Expected value Bayesian network Integral Probability theory Mathematics Mathematical analysis
20	STAT 1211 Spring 2012 Section 001 Introduction to Statistics Course Information Lecture time and location: Tuesday and Thursday 10:35am-11:50am, Room 903, School of Social Work. Add to Reading List Source URL: www.earthinstitute.columbia.edu Language: English - Date: 2012-03-26 16:59:10 Statistical theory Variance Law of total expectation Conditional probability distribution Expected value Bias of an estimator Probability distribution Confidence interval Statistics Probability theory Data analysis

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