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Binary classification
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#	Item
191	Visual Methods for Analyzing Probabilistic Classification Data Bilal Alsallakh, Allan Hanbury, Helwig Hauser, Silvia Miksch, and Andreas Rauber Fig. 1. Our visual analysis tools: (a) the confusion wheel shows sample-clas Add to Reading List Source URL: publik.tuwien.ac.at Language: English - Date: 2014-07-30 17:40:08 Classification rule Support vector machine Linear discriminant analysis Histogram Confusion matrix Multi-label classification Multiclass classification Classifier Binary classification Statistics Statistical classification Naive Bayes classifier
192	VideoSense at TRECVID 2011 : Semantic Indexing from Light Similarity Functions-based Domain Adaptation with Stacking 2 Emilie Morvant1 , St´ephane Ayache1 , Amaury Habrard2 , Miriam Redi3 , Claudiu Tanase3 , Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-03-26 13:24:49 Linear classifier Binary classification Support vector machine Statistics Statistical classification Machine learning
193	Concept Detection Using Local Binary Patterns and SVM Duy-Dinh Le1 and Shin’ichi Satoh1 National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, Japan[removed]removed], [removed] Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2006-12-07 11:18:14 Support vector machine Local binary patterns Histogram Statistics Statistical classification Computer vision
194	K2 Monitoring of Confirmed Members of Upper Sco + Rho Oph Kevin R. Covey, Adam L. Kraus, Aaron Rizzuto, Michael Ireland, Ann Marie Cody K2’s Field 2 provides a unique opportunity to study planet formation from the init Add to Reading List Source URL: keplerscience.arc.nasa.gov Language: English - Date: 2014-08-23 20:45:00 Star types SETI Extrasolar planet Ophiuchus Planet Binary star Star Stellar classification Astronomy Space Exoplanetology
195	The Multimedia Understanding Group at TRECVID-2010 Christos Diou, George Stephanopoulos and Anastasios Delopoulos Multimedia Understanding Group Dept. of Electrical and Computer Engineering Aristotle University of Thessa Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2011-03-04 14:18:44 TRECVID Machine learning Multimedia Information Retrieval Classifier Binary classification Science Mathematical sciences Learning Statistical classification Parts of speech Conferences
196	MORTGAGE DEFAULT: CLASSIFICATION TREES ANALYSIS David Feldman* and Shulamith Gross# March 24, 2003 Preliminary Abstract. We introduce the powerful, flexible and efficient nonparametric Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-11-15 05:30:00** Decision trees Data mining Decision tree learning Logistic regression Binary tree Regression Predictive analytics Random forest Statistics Regression analysis Machine learning
197	Learning Mid-Level Features from Object Hierarchy for Image Classification Somayah Albaradei1,2 , Yang Wang1 , Liangliang Cao3 and Li-Jia Li4 1 2 Add to Reading List Source URL: www.cs.umanitoba.ca Language: English - Date: 2014-02-16 12:31:48 Software engineering Artificial intelligence Parts of speech Classifier Unified Modeling Language Hierarchy Class Support vector machine Binary classification Statistics Statistical classification Machine learning
198	NII-ISM, Japan at TRECVID 2007: High Level Feature Extraction Duy-Dinh Le1 , Shin’ichi Satoh1 , and Tomoko Matsui2 1 National Institute of Informatics, Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2007-11-28 11:16:55 Support vector machine Kernel Statistical classification Computer vision Local binary patterns
199	Applying Support Vector Machines to the TREC-2001 Batch Filtering and Routing Tasks David D. Lewis Independent Consultant 858 W. Armitage Ave., #296 Chicago, IL 60614 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2002-02-12 09:45:02 Support vector machine Linear classifier Information retrieval Binary classification Supervised learning Kernel methods Cross-validation Classifier Precision and recall Statistics Machine learning Statistical classification
200	BERG, BELHUMEUR: TOM-VS-PETE CLASSIFIERS AND IDENTITY-PRESERVING ALIGNMENT 1 Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification Add to Reading List Source URL: thomasberg.org Language: English - Date: 2013-10-20 17:34:54 Artificial intelligence Learning Parts of speech Ensemble learning Classifier Linear classifier Binary classification AdaBoost Boosting methods for object categorization Statistics Statistical classification Machine learning

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