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Cross-validation
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151	PDF Document Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2006-02-21 09:28:33 Regression analysis Information retrieval Support vector machine Cross-validation Logistic regression Kernel methods Training set Text Retrieval Conference Linear classifier Statistics Machine learning Statistical classification
152	PDF Document Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2013-04-17 11:18:38 Partial least squares regression XLSTAT Training set Standardized coefficient Cross-validation Validation Regularization Degrees of freedom Statistics Machine learning Regression analysis
153	PDF Document Add to Reading List Source URL: www.ema.europa.eu Language: English - Date: 2014-09-16 08:43:51 Calibration curve Internal standard Matrix Mass spectrometry Pharmacokinetics Cross-validation Analytical technique Validation Calibration Chemistry Analytical chemistry Science
154	We are pursuing a validation and cross-benchmarking initiative for 3D equilibrium calculations that involves 11 codes from 6 institutions. • Working with tokamak equilibria perturbed by a small nonaxisymmetric field to Add to Reading List Source URL: iscdb.nifs.ac.jp Language: English - Date: 2014-03-13 21:22:05 Nuclear physics Tokamak Stellarator Fusion power DIII-D Plasma Fusion reactors Physics Nuclear power
155	Correlated Component Regression (CCR) Use this module to model and predict a designated dependent variable Y (continuous or dichotomous) from a set of P correlated explanatory variables (predictors) X = (X1, X2, … , XP Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-09-22 15:25:17 Partial least squares regression Linear regression Linear discriminant analysis Multicollinearity Generalized linear model Least squares Cross-validation Multinomial logit Nonparametric regression Statistics Regression analysis Logistic regression
156	Predicting length of stay and assignment of diagnosis codes during hospital inpatient episodes José Carlos Ferrão, , Siemens Healthcare Mónica Duarte Oliveira, Add to Reading List Source URL: service-summit.ksri.kit.edu Language: English - Date: 2015-03-05 11:07:58 Model selection Data analysis Business intelligence Logistic regression Cross-validation Electronic health record Feature selection Data mining Stepwise regression Statistics Machine learning Regression analysis
157	Survey on Validations of H2O Measurements • On the following pages, tables are presented in order to sort the large amount of cross-validation studies • Tables are under construction! Please send references which yo Add to Reading List Source URL: www.iapmw.unibe.ch Language: English - Date: 2008-11-03 05:02:22 Water vapor Radio occultation Water Bruce Jakosky Chemistry Thermodynamics Psychrometrics
158	Survey on Validations of H2O Measurements • On the following pages, tables are presented in order to sort the large amount of cross-validation studies • Tables are under construction! Please send references which yo Add to Reading List Source URL: www.iapmw.unibe.ch Language: English - Date: 2008-10-10 10:42:42 Radio occultation Bruce Jakosky Thermodynamics Psychrometrics Water vapor
159	Copyright © 2012 by Statistical Innovations Inc. All rights reserved. Tutorial 4. Prediction with Near Infrared (NIR) Data Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2013-04-17 11:18:38 Partial least squares regression XLSTAT Training set Standardized coefficient Cross-validation Validation Regularization Degrees of freedom Statistics Machine learning Regression analysis
160	Unsupervised Activity Clustering to Estimate Energy Expenditure with a Single Body Sensor Shanshan Chen, John Lach Oliver Amft Add to Reading List Source URL: www.marcoaltini.com Language: English - Date: 2015-03-03 05:03:35 Computational statistics Cluster analysis Pattern recognition Unsupervised learning Accelerometer Supervised learning Cross-validation Artificial neural network Activity recognition Machine learning Statistics Artificial intelligence

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