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Cross-validation
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#	Item
511	A Pitfall and Solution in Multi-Class Feature Selection for Text Classification Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:19:17 Machine learning Dimension reduction Feature selection Support vector machine Weka Cross-validation Naive Bayes classifier Information retrieval Gain Statistics Model selection Statistical classification
512	The CLIMSAVE Project Climate Change Integrated Assessment Methodology for Cross-Sectoral Adaptation and Vulnerability in Europe Report describing the development and validation of the sectoral Add to Reading List Source URL: www.climsave.eu Language: English - Date: 2011-08-05 08:24:44 Thought Cognition Interpretation Scientific modelling Validation Metamodeling Conceptual model Ethology Unified Modeling Language Scientific modeling
513	Math3346, October 3, 2006. Assignment 4, due October 20, 2006. This assigment is based on Laboratory Exercises 9. Please forward an attached pdf file that has your assignment. 1 Add to Reading List Source URL: datamining.anu.edu.au Language: English - Date: 2011-05-31 01:27:15 Model selection Pharmaceutical industry Validity Pruning Support vector machine Validation Statistics Machine learning Cross-validation
514	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 Oct[removed]Jeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-07 20:25:05 Cross-validation Support vector machine Perceptual learning Statistics Model selection One-shot learning
515	Bagging Predictors By Leo Breiman* Add to Reading List Source URL: statistics.berkeley.edu Language: English - Date: 2014-03-15 03:15:37 Econometrics Regression analysis Ensemble learning Bootstrap aggregating Linear regression Decision tree learning Bootstrapping Cross-validation Leo Breiman Statistics Machine learning Computational statistics
516	Package ‘SCGLR’ July 17, 2014 Type Package Title Supervised Component Generalized Linear Regression (SCGLR) Version 2.0 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-17 10:58:19 Analysis of variance Estimation theory Linear regression Statistical power Design matrix Covariate Cross-validation Instrumental variable Analysis of covariance Statistics Regression analysis Econometrics
517	Microsoft Word - Section 2100-Validation Strategies-Sept2003.doc Add to Reading List Source URL: spb.ca.gov Language: English - Date: 2014-08-07 18:07:49 Pharmaceutical industry Psychometrics Science Quality Validation Knowledge Personnel selection Cross-validation Industrial and organizational psychology Validity Human resource management Management
518	Data Validation (DV) Module 3 Web Release[removed]RELEASE NOTES Release Date: May 2010 SUMMARY Add to Reading List Source URL: www.ows.doleta.gov Language: English - Date: 2010-05-10 16:31:50 Adobe Systems Scripting languages Cross-platform software Adobe Acrobat Internet Explorer Web application Portable Document Format JavaScript Scriptcase Software Computing Technical communication tools
519	Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik. Political Ideology Detection Using Recursive Neural Networks. Association for Computational Linguistics, 2014. @inproceedings{Iyyer:Enns:Boyd-Graber:Resnik- Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:37 Natural language processing Media bias N-gram Sentence Subject Semantics Cross-validation Syntax Syntactic Structures Linguistics Grammar Computational linguistics
520	Feature Subset Selection for Learning Preferences: A Case Study Antonio Bahamonde [removed] Gustavo F. Bay´ on Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:39 Statistical classification Model selection Support vector machine Learning Linear algebra Cross-validation Feature selection Kernel methods Vector space Statistics Algebra Machine learning

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