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Cross-validation
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#	Item
201	24 Metric-Based Approaches for Semi-Supervised Regression and Classification Dale Schuurmans Finnegan Southey Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-05-30 11:08:10 Regularization Regression analysis Empirical risk minimization Overfitting Cross-validation Bayes factor Semi-supervised learning Support vector machine Statistical hypothesis testing Statistics Machine learning Supervised learning
202	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. (version: Tutorial 4: Obtaining Predictions from a 2-class Regression in CORExpress® Dataset for running CCR Linear Regression (CCR.lm Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2012-02-08 14:34:21 Estimation theory Parametric statistics Machine learning Linear regression Cross-validation SPSS Ordinary least squares GUI widget Statistics Regression analysis Econometrics
203	BushelP10_1947 Figure 02 1col Add to Reading List Source URL: www.nature.com Language: English - Date: 2010-07-30 10:24:02 Cross-validation Model selection Gene expression profiling Liver Biomarker CCL2 Apoptosis Hepatotoxicity Support vector machine Biology Medicine Machine learning
204	The First International Workshop on Cyber-Physical Networking Systems Predicting Flu Trends using Twitter Data Harshavardhan Achrekar ∗ Add to Reading List Source URL: users.cs.fiu.edu Language: English - Date: 2012-04-04 07:25:45 Influenza Influenza vaccine Twitter Flu pandemic Swine influenza Centers for Disease Control and Prevention Flu season Cross-validation Health Medicine Pandemics
205	Chen et al. EURASIP Journal on Image and Video Processing:7 DOIs13640x RESEARCH Open Access Add to Reading List Source URL: jivp.eurasipjournals.com Language: English Learning Computer vision Statistical classification Face recognition Support vector machine Cross-validation Facial recognition system Object recognition Pattern recognition Statistics Artificial intelligence Machine learning
206	Revisions and improvements of neutron capture cross sections for EAF-2009 and validation of TALYS calculations Add to Reading List Source URL: www.ccfe.ac.uk Language: English - Date: 2009-10-24 10:41:36 Nuclear physics Nuclear reaction Neutron Nuclear force Tritium Nuclear data Resonance Physics Particle physics Chemistry
207	Copyright © 2011 by Statistical Innovations Inc. All rights reserved. (version: Tutorial 3: Correlated Component Regression for a Dichotomous Dependent Variable Overview In regression analyses involving a di Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-09-21 09:38:48 Cross-validation Linear discriminant analysis Logistic regression Degrees of freedom Standardized coefficient Regularization Nonparametric regression Unit-weighted regression Statistics Regression analysis Machine learning
208	Int J Primatol DOIs10764z Rapid Assessment of the Nutritional Value of Foods Eaten by Mountain Gorillas: Applying Near-Infrared Reflectance Spectroscopy Add to Reading List Source URL: pages.nycep.org Language: English - Date: 2012-04-22 19:07:25 Near-infrared spectroscopy Spectroscopy Neutral Detergent Fiber Cross-validation Mountain gorilla Nutrition Dietary fiber Regression analysis Statistics Health Science
209	Common Mistakes in Building QSAR Models Damjan Krstajić Research Centre for Cheminformatics Belgrade, Serbia www.rcc.org.rs Add to Reading List Source URL: cisrg.shef.ac.uk Language: English - Date: 2014-03-31 11:07:35 Model selection Estimation theory Econometrics Cross-validation Quantitative structure–activity relationship Linear regression Feature selection Tikhonov regularization Overfitting Statistics Machine learning Regression analysis
210	CNN Features off-the-shelf: an Astounding Baseline for Recognition Hossein Azizpour Josephine Sullivan Stefan Carlsson CVAP, KTH (Royal Institute of Technology) Stockholm, Sweden Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-03-25 20:21:16 Image search LabelMe Object recognition Geographic information system Support vector machine Segmentation Cross-validation Image retrieval Feature Computer vision Image processing Machine learning

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