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Binary classification
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#	Item
221	Image Classification with Annotator Rationales Jeff Donahue Supervised by Professor Kristen Grauman Department of Computer Science Add to Reading List Source URL: apps.cs.utexas.edu Language: English - Date: 2011-01-24 10:23:53 Statistical classification Learning Computational linguistics Support vector machine Binary classification Natural language processing Supervised learning Boosting methods for object categorization Caltech 101 Machine learning Statistics Artificial intelligence
222	The Proceedings of the 13th Annual International Conference on Digital Government Research Facilitative Moderation for Online Participation in eRulemaking Joonsuk Park Add to Reading List Source URL: www.lawschool.cornell.edu Language: English - Date: 2012-07-05 13:46:24 Reputation management Statistical classification Internet culture Rulemaking Information science Moderation system Gain Binary classification Classifier United States administrative law Machine learning Statistics
223	Package ‘Causata’ July 2, 2014 Type Package Title Analysis utilities for binary classification and Causata users. Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:37:08 Computing Variables Elementary mathematics Regression analysis Type theory Is functions SQL Record Parameter Mathematics Data types Statistics
224	Image Classification with Annotator Rationales Jeff Donahue Supervised by Professor Kristen Grauman Department of Computer Science Add to Reading List Source URL: jeffdonahue.com Language: English - Date: 2014-06-22 21:47:24 Statistical classification Learning Computational linguistics Support vector machine Binary classification Natural language processing Supervised learning Boosting methods for object categorization Caltech 101 Machine learning Statistics Artificial intelligence
225	Supervised Learning from Multiple Experts: Whom to trust when everyone lies a bit Vikas C. Raykar1 [removed] Shipeng Yu1 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:18 Receiver operating characteristic Binary classification Computer-aided diagnosis Expectation–maximization algorithm Pattern recognition Supervised learning Statistics Machine learning Statistical classification
226	Click Here JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 114, D06207, doi:[removed]2008JD011005, 2009 for Add to Reading List Source URL: i3rc.gsfc.nasa.gov Language: English - Date: 2011-12-30 10:32:04 Electromagnetic radiation Design of experiments Hypothesis testing Receiver operating characteristic Atmospheric radiative transfer codes Optical depth Naive Bayes classifier Optics Binary classification Statistics Statistical classification Machine learning
227	To appear, Proceedings of the International Conference on Computer Vision (ICCV), [removed]Annotator Rationales for Visual Recognition Jeff Donahue and Kristen Grauman Dept. of Computer Science, University of Texas at Aust Add to Reading List Source URL: jeffdonahue.com Language: English - Date: 2014-06-22 21:47:24 Rationale Punctuation Region of interest Attribute Binary classification Data Statistics Artificial intelligence LabelMe
228	The Proceedings of the 13th Annual International Conference on Digital Government Research Facilitative Moderation for Online Participation in eRulemaking Joonsuk Park Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2013-12-03 11:08:21 Reputation management Statistical classification Internet culture Rulemaking Information science Moderation system Gain Binary classification Classifier United States administrative law Machine learning Statistics
229	Active Learning of Label Ranking Functions Klaus Brinker [removed] International Graduate School of Dynamic Intelligent Systems, University of Paderborn, 33098 Paderborn, Germany Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:01 Margin classifier Supervised learning Support vector machine Linear classifier Active learning Learning to rank Binary classification Naive Bayes classifier Total order Statistics Machine learning Statistical classification
230	Delegating Classifiers C´esar Ferri Dep. de Sist. Inform`atics i Computaci´o, Univ. Polit`ecnica de Val`encia, Spain. Peter Flach Department of Computer Science, University of Bristol, UK. Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:28 Naive Bayes classifier Binary classification Gain Boosting Support vector machine Receiver operating characteristic Classifier Æ Ensemble learning Statistics Statistical classification Multiclass classification

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