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Cross-validation
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#	Item
171	Microsoft Word - 2013ISId.docx Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:13 Regression analysis Econometrics Machine learning Linear discriminant analysis Dummy variable Cross-validation Logistic regression Support vector machine SPSS Statistics Statistical classification Multivariate statistics
172	PowerForms: Declarative Client-Side Form Field Validation Claus Brabrand Anders Møller Mikkel Ricky Add to Reading List Source URL: www.brics.dk Language: English - Date: 2000-05-11 08:11:20 Technical communication Cross-platform software Form World Wide Web JavaScript HTML element Regular expression Document Object Model Data validation Computing HTML Markup languages
173	Statistical resolution of scope ambiguity in natural language Galen Andrew and Bill MacCartney 4 March Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2004-05-23 15:14:14 Semantics Mathematics Predicate logic Formal languages Sentence Model theory Regular expression Interpretation Cross-validation Logic Mathematical logic Quantification
174	DECEMBERMIELKE ET AL. 847 Add to Reading List Source URL: hurricane.atmos.colostate.edu Language: English - Date: 2005-02-02 13:19:30 Linear regression Cross-validation Coefficient of determination Multiple correlation Errors and residuals in statistics Linear discriminant analysis Least squares Statistics Regression analysis Lysergic acid diethylamide
175	Consistent Cross-Validation for Tuning Parameter Selection in High-Dimensional Variable Selection Yang Feng* Columbia University, New York, NY, USA Yi Yu Fudan University, Shanghai, China yu.yi Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:20 Cross-validation Feature selection Validation Statistics Model selection Machine learning
176	AUTHOR ATTRIBUTION EVALUATION WITH NOVEL TOPIC CROSS-VALIDATION Andrew I. Schein, Johnnie F. Caver, Randale J. Honaker, and Craig H. Martell Department of Computer Science The Naval Postgraduate School 1 University Way Add to Reading List Source URL: www.andrewschein.com Language: English - Date: 2011-08-13 15:16:57 Machine learning Cross-validation Model selection Natural language processing Computational linguistics Pharmaceutical industry Information retrieval Plagiarism detection Validation Science Linguistics Statistics
177	BIA MODELS TO ASSESS TOTAL BODY AND EXTRACELLULAR HYDRATION IN ATHLETES Matias C.N., Santos D.A., Magalhães J.P., Judice P.B., Minderico C.S., Fields D.A., Sardinha L.B., Silva A.M. 0 Reductions in the ICW compartment Add to Reading List Source URL: www.europeanhydrationinstitute.org Language: English - Date: 2014-09-08 10:25:38 The Bridge World Reactance Compartment ECW International World Class Championship Wrestling Cross-validation Electrical reactance Measurement Statistics Body water Humans
178	Ad Click Prediction: a View from the Trenches H. Brendan McMahan, Gary Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Mart Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2013-08-12 13:25:40 Cross-validation Poisson regression Pattern recognition Feature selection Least squares Regression analysis Regularization Gradient boosting Book:Machine Learning - The Complete Guide Statistics Machine learning Supervised learning
179	Microsoft Word - BHPBIO - Conveyor Belt Wear Life - Harding.docx Add to Reading List Source URL: www.ceed.uwa.edu.au Language: English - Date: 2015-03-17 22:48:02 Engineering Econometrics Bulk material handling Conveyor belt Conveyor system Regression analysis Belt Cross-validation Linear regression Statistics Technology Materials handling
180	Baselines and Bigrams: Simple, Good Sentiment and Topic Classification Sida Wang and Christopher D. Manning Department of Computer Science Stanford University Stanford, CA 94305 {sidaw,manning}@stanford.edu Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2012-05-24 23:21:00 Statistical classification Natural language processing Support vector machine Learning Document classification Cross-validation Naive Bayes classifier Active learning Sentiment analysis Statistics Machine learning Artificial intelligence

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