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Classification in machine learning
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331	R in the Midst of Exploding Stars: Distributed, Time-Domain Transient Classification ? Thomas J. Fuchs1,2, , Michael Turmon1 , Matthew J. Graham2 , Ciro Donalek2 , Ashish Mahabal2 Andrew J. Drake2 , S. George Djorgovski2 Add to Reading List Source URL: user2014.stat.ucla.edu Language: English - Date: 2014-06-28 21:51:12 Feature selection Model selection Random forest California Institute of Technology Astronomy Machine learning Statistics Dimension reduction
332	IBSA Classification Rules and Procedures This document sets out the latest revised IBSA Classification Rules & Procedures, which will take effect from the date of this document. The Rules were reviewed in order to alter Add to Reading List Source URL: www.ibsasport.org Language: English - Date: 2013-06-08 09:08:04 Disabled sports Disability sport classification T13 Machine learning Statistical classification Classification rule
333	Package ‘classifly’ July 2, 2014 Title Explore classification models in high dimensions Description Given $p$-dimensional training data containing $d$ groups (the design space), a classification algorithm (classifier Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:28:04 Support vector machine Kyphosis Statistics Statistical classification Machine learning
334	Use of Predictive Biomarker Classifiers in the Design of Pivotal Clinical Trials Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:34 Epidemiology Machine learning Statistical classification Clinical trials Medical terms Imaging biomarker Biomarker Binary classification Naive Bayes classifier Medicine Statistics Health
335	Methods & Myths in Prognostic & Diagnostic Prediction with Microarray & Proteomic Data Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:28 Linear classifier Linear regression Support vector machine Regression analysis Naive Bayes classifier Book:Machine Learning - The Complete Guide Statistics Statistical classification Linear discriminant analysis
336	Flashes in a Star Stream: Automated Classification of Astronomical Transient Events Add to Reading List Source URL: www.kiss.caltech.edu Language: English - Date: 2014-04-29 13:09:28 Statistical classification Machine learning Naive Bayes classifier Data analysis Bayesian network Transient astronomical event Gravitational microlensing Feature selection Regression analysis Statistics Astronomy Bayesian statistics
337	Feature Selection Bias in Classification of High Dimensional Data John H Maindonald December 5, 2013 Abstract This vignette reproduces modified versions the calculations and the Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:06:59 Multivariate statistics Statistical classification Linear discriminant analysis Cross-validation Algebraic number theory Validation Feature selection Discriminant Statistics Machine learning Model selection
338	Heidi M. Sosik and Robert J. Olson. Automated taxonomic classification of phytoplankton sampled with imaging in-flow cytometry. Limnol. Oceanogr.: Methods 5, 2007, 204–216 Add to Reading List Source URL: www.whoi.edu Language: English - Date: 2008-05-02 11:20:28 Artificial intelligence Computer vision Image processing Support vector machine Feature extraction Classification rule Segmentation Supervised learning Boosting methods for object categorization Statistics Statistical classification Machine learning
339	December 8, 2011 ISOO Notice[removed]: Requirements for Derivative Classifier Training The purpose of this Notice is to assist agencies, and their contractors, in identifying who is a derivative classifier, and therefore Add to Reading List Source URL: archives.gov Language: English - Date: 2012-01-11 14:02:29 Machine learning Government Classified information Statistical classification United States government secrecy Information Security Oversight Office National Archives and Records Administration
340	Dealing with Out of Domain Questions in Virtual Characters Ronakkumar Patel, Anton Leuski, and David Traum Institute for Creative Technologies University of Southern California Marina del Rey, CA 90292, USA Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2010-04-15 22:00:00 Parts of speech Classifier Binary classification Yes–no question Chinese classifier Statistics Machine learning Statistical classification

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