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Cross-validation
Results: 663

#	Item
491	What You Want Is Not What You Get: Predicting Sharing Policies for Text-based Content on Facebook Arunesh Sinha∗ ∗ Carnegie Mellon University Add to Reading List Source URL: www.ece.cmu.edu Language: English - Date: 2013-09-03 20:46:27 Social information processing Web 2.0 Internet privacy Privacy policy Facebook Cross-validation Geographic information system Privacy Social networking service Computing World Wide Web Ethics
492	Buying Motivations: Behavioral and Neural Cross-Validation aWi-Suk Kwon, bGopikrishna Deshpande, aSang-Eun Byun, cJeffrey Katz, aSandra Forsythe, cAdam M. Goodman, aXiao Huang, & bYun Wang Add to Reading List Source URL: www.eng.auburn.edu Language: English - Date: 2014-04-15 15:55:44 Cognitive science Electroencephalography Evoked potentials Functional magnetic resonance imaging Magnetic resonance imaging Neuroimaging Emotion Difference due to Memory Emotional lateralization Neuroscience Medical imaging Mind
493	(7 May[removed]TEMPLATE DEFINITIONS USED IN SECTION 1 Identification template 1.0 – calendar definition Octet No. Contents Status NONE Add to Reading List Source URL: www.wmo.int Language: English - Date: 2014-06-27 10:50:24 Quality Validation Science Scale Research Evaluation Cross-validation Pharmaceutical industry Validity Clinical research
494	Inter-calibration of medium-resolution grating spectrometers for MOPITT validation Boyd T. Tolton ±, Leonid Yurganov ±, Éamonn McKernan ±, Adriana Predoi-Cross ±, and Evgeny Grechko ² ± Department of Physics, Uni Add to Reading List Source URL: www.atmosp.physics.utoronto.ca Language: English* - Date: 1999-07-26 22:05:05 Measurement MOPITT Fourier transform infrared spectroscopy Spectrometer Vacuum Science Scientific method Measuring instruments
495	Detecting Hoaxes, Frauds, and Deception in Writing Style Online Sadia Afroz∗ , Michael Brennan∗ and Rachel Greenstadt∗ ∗ Department of Computer Science Drexel University, Philadelphia, PA[removed]Emails: sadia.afro Add to Reading List Source URL: www.cs.drexel.edu Language: English - Date: 2012-03-06 14:00:32 Behavior Computational linguistics Natural language processing Stylometry Deception Ernest Hemingway Obfuscation International Imitation Hemingway Competition Cross-validation Statistics Linguistics Human behavior
496	CWE- 180 INCORRECT BEHAVIOR ORDER: VALIDATE BEFORE CANONICALIZE CWE- 76 FAILURE TO Add to Reading List Source URL: faculty.ist.unomaha.edu Language: English - Date: 2010-06-24 09:59:57 HTTP response splitting CWE Code injection SQL injection Cross-site scripting Improper input validation Sanitization XQuery XML Computing Cyberwarfare Computer security
497	Imaging, Diagnosis, Prognosis How Large a Training Set is Needed to Develop a Classifier for Microarray Data? Kevin K. Dobbin,Yingdong Zhao, and Richard M. Simon Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:15 Machine learning Gene expression Gene expression profiling Sample size determination DNA microarray Linear classifier Cross-validation Gain Classifier Statistics Statistical classification Microarrays
498	Microsoft Word - vandendool_051109.doc Add to Reading List Source URL: www.nws.noaa.gov Language: English - Date: 2009-08-03 11:05:26 Econometrics Statistical forecasting Estimation theory Correlation and dependence Cross-validation Forecasting Errors and residuals in statistics Forecast error Statistics Error Regression analysis
499	Package ‘SuperLearner’ July 21, 2014 Type Package Title Super Learner Prediction Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-21 15:12:33 Applied mathematics Cross-validation Model selection Algorithm Fold Least squares Mathematical optimization Function K-nearest neighbor algorithm Mathematics Statistics Machine learning
500	bootfs - Bootstrapped feature selection Christian Bender ∗ September 8, 2013 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:23:14 Model selection Support vector machine Receiver operating characteristic Random forest Statistical hypothesis testing Feature selection Cross-validation Iris Statistics Machine learning Statistical classification

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