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Binary classification
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#	Item
21	On-line Hierarchical Multi-label Text Classification Jesse Read September 7, 2007 On-line Hierarchical Multi-label Text Classification Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:53 Statistical classification Machine learning Artificial intelligence Learning Statistics Multi-label classification Naive Bayes classifier Classifier AdaBoost Document classification Binary classification Classifier chains
22	© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promo Add to Reading List Source URL: www.wjscheirer.com Language: English - Date: 2012-11-13 20:10:21 Learning Machine learning Artificial intelligence Statistical classification Support vector machine Kernel method Supervised learning Pattern recognition Semi-supervised learning Positive-definite kernel Binary classification Decision boundary
23	334 Genome Informatics 13: 334–Identification and Classification of Eukaryotic GPCRs by Binary Topology Pattern Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-19 23:03:32 Cell biology Biology G protein coupled receptors Cell signaling Signal transduction Protein families Membrane biology G proteincoupled receptor SOSUI G protein Hormone Frizzled
24	ADVANCES in UNIVERSUM LEARNING 1 Vladimir Cherkassky 1 and Sauptik Dhar 2 Dept. of Electrical & Computer Eng., University of Minnesota, Minneapolis, MNtelfaxemail Add to Reading List Source URL: www.conference123.org Language: English - Date: 2014-07-16 23:21:34 Machine learning Statistical classification Support vector machine Learning Transduction Statistical learning theory Binary classification Pattern recognition Artificial neural network
25	Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them ˇ Albert Bifet1 , Jesse Read2 , Indr˙e Zliobait˙ e3 , Bernhard Pfahringer4 , and Geoff Holmes4 1 Add to Reading List Source URL: perso.telecom-paristech.fr Language: English Statistical classification Naive Bayes classifier Bayes classifier Support vector machine Classifier Multiclass classification Concept drift Massive Online Analysis Binary classification Classifier chains Nearest neighbour classifiers
26	To appear: IEEE Transactions on Information Forensics and Security Face Recognition Performance: Role of Demographic Information Brendan F. Klare, Member, IEEE, Mark J. Burge, Senior Member, IEEE, Joshua C. Klontz, Rich Add to Reading List Source URL: openbiometrics.org Language: English - Date: 2016-08-02 16:53:35 Face recognition Surveillance Machine learning Feature detection Local binary patterns Facial recognition system Demography of the United States Face detection Biometrics Cohort Statistical classification
27	INVESTIGATION OF LATENT TRACES USING INFRARED REFLECTANCE HYPERSPECTRAL IMAGING Till Schubert, Susanne Wenzel, Ribana Roscher, Cyrill Stachniss Department of Photogrammetry, Institute of Geodesy and Geoinformation, Unive Add to Reading List Source URL: www.ipb.uni-bonn.de Language: English - Date: 2016-05-09 08:52:58 Spectroscopy Remote sensing Statistical classification Electromagnetic spectrum Machine learning Hyperspectral imaging Airborne real-time cueing hyperspectral enhanced reconnaissance Linear discriminant analysis Infrared Ultraviolet Spectral imaging Binary classification
28	An Effective Classification System for Separating Sugar Beets and Weeds for Precision Farming Applications P. Lottes M. Hoeferlin Add to Reading List Source URL: www.ipb.uni-bonn.de Language: English - Date: 2016-05-04 03:09:30 Plants Agricultural soil science Agriculture Agronomy Garden pests Precision agriculture Herbicide Image segmentation Weed control Local binary patterns Weed Multispectral image
29	CHARACTERISTICS IN FLIGHT DATA ESTIMATION WITH LOGISTIC REGRESSION AND SUPPORT VECTOR MACHINES Claus Gwiggner, Ecole Polytechnique, LIX, Palaiseau, France Gert Lanckriet, University of Berkele Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Statistical classification Regression analysis Machine learning Econometrics Support vector machine Logistic regression Binary classification Regression Predictive analytics Least squares support vector machine
30	JMLR: Workshop and Conference Proceedings 25:269–284, 2012 Asian Conference on Machine Learning On Using Nearly-Independent Feature Families for High Precision and Confidence Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-12-03 17:28:19 Statistical classification Machine learning Linear classifier Precision and recall Support vector machine Binary classification F1 score Supervised learning Classifier Probability distribution