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Statistical learning theory
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#	Item
531	THE GROSSMAN-CORMACK GLOSSARY OF TECHNOLOGY ASSISTED REVIEW (Version 1.02, November[removed]Copyright © 2012 Maura R. Grossman and Gordon V. Cormack Add to Reading List Source URL: cormack.uwaterloo.ca Language: English - Date: 2012-11-30 09:53:15 Information retrieval Bioinformatics Machine learning Biostatistics Statistical theory Precision and recall Sensitivity and specificity Receiver operating characteristic Gain Statistics Information science Science
532	Discussion on ‘Confidence Intervals and Hypothesis Testing for High-Dimensional Regression’ Yen-Chi Chen and Yu-Xiang Wang Department of Statistics and Machine Learning Carnegie Mellon University This is a discussion Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-10-27 09:20:39 Hypothesis testing Statistical theory Parametric statistics Confidence interval Normal distribution Statistical power Consistent estimator Statistical hypothesis testing Linear regression Statistics Statistical inference Econometrics
533	North Dakota 21st Century Community Learning Centers Statewide Evaluation[removed]Prepared by: Westwood Research & Statistical Services Add to Reading List Source URL: www.dpi.state.nd.us Language: English - Date: 2013-07-01 14:54:32 Graph theory Graph
534	Bayesian Inference for Finite-State Transducers∗ David Chiang1 Jonathan Graehl1 Kevin Knight1 Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-14 21:27:14 Statistical inference Statistical theory Machine learning Expectation–maximization algorithm Gibbs sampling Hidden Markov model Bayesian inference Variational Bayesian methods Pattern recognition Statistics Bayesian statistics Estimation theory
535	Source Click here to download Manuscript: GrollmanBillard.tex Noname manuscript No. (will be inserted by the editor) Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 12:01:34 Statistical inference Statistical models Machine learning Normal distribution Expectation–maximization algorithm Xi Confidence interval Mixture model Generalized method of moments Statistics Estimation theory Econometrics
536	Structure Learning with Hidden Data in Relational Domains Tushar Khot, Sriraam Natarajan∗ , Kristian Kersting∗+ , Jude Shavlik University of Wisconsin-Madison, USA ∗ Wake Forest University School of Medicine, USA Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 16:57:18 Model theory Statistical models Ensemble learning Gradient boosting Expectation–maximization algorithm Function First-order logic Regression analysis Supervised learning Statistics Mathematics Machine learning
537	On-line Semantic Perception Using Uncertainty Roderick de Nijs1,∗ , Sebastian Ramos1,∗ , Gemma Roig2 , Xavier Boix2 , Luc Van Gool2 , Kolja K¨uhnlenz1,3 1 Institute of Automatic Control Engineering Technische Univer Add to Reading List Source URL: www.vision.ee.ethz.ch Language: English - Date: 2012-08-02 04:41:54 Measurement Graphical models Theoretical computer science Conditional random field Machine learning Segmentation Entropy Uncertainty Confidence interval Statistics Probability and statistics Statistical theory
538	Contour-based Object Detection in Range Images Stefan Stiene, Kai Lingemann, Andreas N¨uchter, Joachim Hertzberg University of Osnabr¨uck Knowledge-Based Systems Research Group Albrechtstraße 28 D[removed]Osnabr¨uck, G Add to Reading List Source URL: kos.informatik.uni-osnabrueck.de Language: English - Date: 2009-08-10 07:48:20 Machine learning Abstract algebra Statistical classification Matrix theory Support vector machine Singular value decomposition Segmentation Linear classifier Eigenvalues and eigenvectors Algebra Mathematics Linear algebra
539	Structure Learning with Hidden Data in Relational Domains Tushar Khot, Sriraam Natarajan∗ , Kristian Kersting∗+ , Jude Shavlik University of Wisconsin-Madison, USA ∗ Wake Forest University School of Medicine, USA Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 16:57:18 Model theory Statistical models Ensemble learning Gradient boosting Expectation–maximization algorithm Function First-order logic Regression analysis Supervised learning Statistics Mathematics Machine learning
540	Source Click here to download Manuscript: GrollmanBillard.tex Noname manuscript No. (will be inserted by the editor) Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 12:01:34 Statistical inference Statistical models Machine learning Normal distribution Expectation–maximization algorithm Xi Confidence interval Mixture model Generalized method of moments Statistics Estimation theory Econometrics

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