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Statistical learning theory
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591	The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity∗ B. Delaney†, A. Fast‡, W. Campbell† , C. Weinstein† , D. Jensen‡ Abstract We apply statistical relational l Add to Reading List Source URL: datamininglab.com Language: English Statistics Computing Relational model Database management systems Relational database Data mining Statistical relational learning Relation Database Data management Database theory Machine learning
592	Improved Generative Models for Continuous Image Features through Tree-structured Non-parametric Distributions Marwan A. Mattar Erik G. Learned-Miller Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:35 Statistical inference Statistical theory Machine learning Kullback–Leibler divergence Naive Bayes classifier Bayesian network Mixture model Maximum likelihood Normal distribution Statistics Statistical models Bayesian statistics
593	A Composite Likelihood View for Multi-Label Classification Yi Zhang Jeff Schneider School of Computer Science, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-02-04 21:37:18 Bayesian statistics Statistical theory Likelihood function Marginal likelihood Maximum likelihood Classifier chains Multi-label classification Kullback–Leibler divergence Statistical classification Statistics Estimation theory Machine learning
594	Efficiently Learning the Accuracy of Labeling Sources for Selective Sampling Pinar Donmez Jaime G. Carbonell Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-20 16:41:37 Statistical inference Advantage Labeling theory Oracle Corporation Confidence interval Low Oracle Database Oracle machine Sampling Statistics Machine learning Measurement
595	Module 7 - Testing Theory and Strategy EAGLE Training Program Module 7 – Testing Theory and Strategy Learning Objectives Add to Reading List Source URL: www.ncosc.net Language: English - Date: 2011-02-25 10:22:56 Entity-level controls Management accounting Test strategy Test plan Internal control Business Statistical hypothesis testing SOX 404 top–down risk assessment Software testing Statistics Auditing
596	Connections between the Lines: Augmenting Social Networks with Text Jonathan Chang Jordan Boyd-Graber Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Science Machine learning Entity-relationship model Topic model Latent Dirichlet allocation Expectation–maximization algorithm Maximum likelihood N-gram Statistics Statistical natural language processing Estimation theory
597	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-296 January 24, 2011 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2011-05-07 15:23:18 Machine learning Abstract algebra Statistical classification Estimation theory Regularization Support vector machine Supervised learning Stability Tikhonov regularization Algebra Mathematics Linear algebra
598	Statistica Sinica: Preprint doi:[removed]ss[removed]Estimation and classification for Finite Mixture Models under Ranked Set Sampling Armin Hatefi,a Mohammad Jafari Jozani,a,1 and Djemel Zioub Add to Reading List Source URL: www3.stat.sinica.edu.tw Language: English - Date: 2013-03-24 23:38:21 Statistical models Cluster analysis Machine learning Mixture model Expectation–maximization algorithm Mixture distribution Maximum likelihood Sampling Simple random sample Statistics Estimation theory Statistical theory
599	Feature Selection Bias in Classification of High Dimensional Data John H Maindonald December 5, 2013 Abstract This vignette reproduces modified versions the calculations and the Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:06:59 Multivariate statistics Statistical classification Linear discriminant analysis Cross-validation Algebraic number theory Validation Feature selection Discriminant Statistics Machine learning Model selection
600	Reinforcement Learning for Mapping Instructions to Actions S.R.K. Branavan, Harr Chen, Luke S. Zettlemoyer, Regina Barzilay Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology {b Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-05-20 11:08:30 Markov decision process Maximum likelihood Statistics Statistical theory Reinforcement learning

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