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Expectation
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#	Item
691	Index K -means algorithm, 238, 265 ANOVA, see analysis of variance Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2012-04-23 06:41:58 Cluster analysis Multivariate statistics Data analysis K-means clustering Calibration Random forest Linear classifier Expectation–maximization algorithm K-nearest neighbor algorithm Statistics Machine learning Statistical classification
692	Hierarchical relational models for document networks Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Latent Dirichlet allocation Mixture model Expectation–maximization algorithm Topic model Markov chain Probit model Statistics Machine learning Statistical natural language processing
693	Clustering by intersection-merging Qunhua Li Marina Meila˘ Department of Statistics Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-11-27 01:06:05 Mixture model Likelihood function Mixture distribution EM Algorithm Statistics Estimation theory Expectation–maximization algorithm
694	Microsoft Word - 31566424_1.docx Add to Reading List Source URL: www.gtlaw.com.au Language: English - Date: 2014-04-01 20:34:51 Law Internet privacy Information privacy Expectation of privacy Privacy in Australian law Privacy law Ethics Privacy
695	Proceedings of 2010 IEEE 17th International Conference on Image Processing September 26-29, 2010, Hong Kong COMBINING FREE ENERGY SCORE SPACES WITH INFORMATION THEORETIC KERNELS: APPLICATION TO SCENE CLASSIFICATION Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Categorical data Probabilistic latent semantic analysis Statistical natural language processing Discriminative model Support vector machine Expectation–maximization algorithm Kullback–Leibler divergence Kernel Pattern recognition Statistics Machine learning Statistical classification
696	“Any expectation that I would have to induct and train a new bunch of sappers was dissipated when I was confronted with a well-trained troop...” Add to Reading List Source URL: www.wasappers.com Language: English - Date: 2008-01-22 19:16:17 Television F Troop The Troop
697	Latent Maximum Margin Clustering Guang-Tong Zhou, Tian Lan, Arash Vahdat, and Greg Mori School of Computing Science Simon Fraser University {gza11,tla58,avahdat,mori}@cs.sfu.ca Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-12-02 23:33:32 Cluster analysis Multivariate statistics Data mining Expectation–maximization algorithm Hierarchical clustering K-means clustering Mixture model Latent variable Support vector machine Statistics Statistical models Machine learning
698	Glenn Joseph Raynor v. State of Maryland, No. 69, September Term[removed]CRIMINAL PROCEDURE — SEARCH AND SEIZURE — REASONABLE EXPECTATION OF PRIVACY — DNA TESTING — The test for ascertaining whether a particular fo Add to Reading List Source URL: www.eff.org Language: English - Date: 2015-02-19 12:13:07 DNA DNA profiling Molecular biology Expectation of privacy Security Biology Privacy law Biometrics
699	Bayesian Nonparametric Matrix Factorization for Recorded Music Matthew D. Hoffman MDHOFFMA @ CS . PRINCETON . EDU David M. Blei BLEI @ CS . PRINCETON . EDU Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Estimation theory Statistical inference Multivariate statistics Non-negative matrix factorization Expectation–maximization algorithm Likelihood function Sufficient statistic Gamma distribution Exponential family Statistics Statistical theory Bayesian statistics
700	Journal of Machine Learning Research[removed]1322 Submitted 9/09; Revised 2/10; Published 4/10 Learning From Crowds Vikas C. Raykar Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-04-07 15:50:44 Expectation–maximization algorithm Beta distribution Statistics Estimation theory Maximum likelihood

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