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Regression validation
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231	4. Process Modeling 4. Process Modeling The goal for this chapter is to present the background and specific analysis techniques needed to construct a statistical model that describes a particular scientific or engineeri Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-10-30 11:44:50 Regression model validation Linear regression Design of experiments Least squares Statistical model Data analysis Process modeling Polynomial and rational function modeling Response surface methodology Statistics Regression analysis Local regression
232	http://geology.com/hurricanes/hurricane-names.shtml[removed]Hurricane Season Predictions Brandon Sherman Vinicius Taguchi Add to Reading List Source URL: www.samsi.info Language: English - Date: 2013-05-20 09:43:15 Atmospheric sciences Machine learning Akaike information criterion Cross-validation Tropical cyclone Regression analysis Statistics Model selection Meteorology
233	Model-Driven Test Automation and Regression Testing of Satellite Data Acquisition Systems University of Luxembourg Interdisciplinary Centre for Security, Reliability and Trust Software Verification and Validation Lab Add to Reading List Source URL: www.fnr.lu Language: English - Date: 2013-12-18 09:55:56 Technology Oracle Reliability engineering Data acquisition Quality assurance System Test automation Software testing Software Science
234	Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs Gavin C. Cawley School of Computing Sciences University of East Anglia Norwich NR4 7TJ Add to Reading List Source URL: theoval.cmp.uea.ac.uk Language: English - Date: 2012-09-05 05:12:54 Machine learning Model selection Statistical classification Cross-validation Least squares Support vector machine Degrees of freedom Loss function Cholesky decomposition Statistics Regression analysis Econometrics
235	Machine Learning manuscript No. (will be inserted by the editor) Efficient Approximate Leave-One-Out Cross-Validation for Kernel Logistic Regression Gavin C. Cawley, Nicola L. C. Talbot Add to Reading List Source URL: theoval.cmp.uea.ac.uk Language: English - Date: 2012-09-05 05:12:52 Econometrics Estimation theory Statistical classification Cross-validation K-nearest neighbor algorithm Linear regression Support vector machine Logistic regression Kernel regression Statistics Regression analysis Machine learning
236	FINAL REPORT Independent Peer Review of the California High-Speed Rail Ridership and Revenue Forecasting Process Findings and Recommendations from the April-June 2013 Review Period Add to Reading List Source URL: www.hsr.ca.gov Language: English - Date: 2013-12-03 14:27:01 Transportation planning Statistical inference Trip distribution Choice modelling Calibration Validation Regression model validation Statistics Regression analysis Scientific modeling
237	Optimal Use of Regularization and Cross-validation in Neural Network Modeling Dingding Chen, [removed], Oklahoma State University Martin T. Hagan, [removed], Oklahoma State University Abstrac Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:48 Regularization Overfitting Neural networks Computational statistics Machine learning Statistics Regression analysis
238	Optimal Use of Regularization and Cross-validation in Neural Network Modeling Dingding Chen, [removed], Oklahoma State University Martin T. Hagan, [removed], Oklahoma State University Abstrac Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2008-01-23 11:12:48 Regularization Overfitting Neural networks Computational statistics Machine learning Statistics Regression analysis
239	Phrases That Signal Workplace Hierarchy Eric Gilbert School of Interactive Computing & GVU Center Georgia Institute of Technology [removed] ABSTRACT Add to Reading List Source URL: comp.social.gatech.edu Language: English - Date: 2011-12-20 19:12:50 Spam filtering Econometrics Regression analysis Enron Anti-spam techniques Logistic regression Cross-validation Statistics Spamming Email
240	Precision Reuse for Efficient Regression Verification † Dirk Beyer 1 , Stefan Löwe 1 , Evgeny Novikov 2 , Andreas Stahlbauer 1 , and Philipp Wendler 1 1 Add to Reading List Source URL: www.sosy-lab.org Language: English - Date: 2013-10-11 06:59:23 Formal methods Logic in computer science Model checkers Software testing Software verification Formal verification Model checking Verification and validation BLAST model checker Theoretical computer science Applied mathematics Mathematical software

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