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Multi-label classification
Results: 131

#	Item
111	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
112	A Composite Likelihood View for Multi-Label Classification Yi Zhang Jeff Schneider School of Computer Science, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-02-04 21:37:18 Bayesian statistics Statistical theory Likelihood function Marginal likelihood Maximum likelihood Classifier chains Multi-label classification Kullback–Leibler divergence Statistical classification Statistics Estimation theory Machine learning
113	Multi-Label Output Codes using Canonical Correlation Analysis Yi Zhang Jeff Schneider School of Computer Science, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-07-25 14:22:10 Information theory Finite fields Information Statistical classification Support vector machine Mathematics Concatenated error correction code Correlation and dependence Coding theory Statistics Error detection and correction
114	Evaluating Feature Selection Methods for Multi-Label Text Classification Newton Spolaôr1, Grigorios Tsoumakas2 1 Laboratory of Computational Intelligence, Add to Reading List Source URL: bioasq.org Language: English - Date: 2014-07-11 11:09:45 Hindu population in England & Wales Hinduism in the United Kingdom Perceptron
115	Evaluating Feature Selection Methods for Multi-Label Text Classification Newton Spolaˆor1 and Grigorios Tsoumakas2 1 Laboratory of Computational Intelligence Add to Reading List Source URL: bioasq.org Language: English - Date: 2014-07-11 11:09:45 Computer vision Image processing Multi-label classification Information retrieval Feature selection Supervised learning Weka Precision and recall Feature Statistics Machine learning Science
116	A MFoM Learning Approach to Robust Multiclass Multi-Label Text Categorization Sheng Gao [removed] Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore[removed]Wen Wu Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:19:52 Binary classification Linear classifier Multiclass classification Multi-label classification Linear discriminant analysis Receiver operating characteristic Statistics Statistical classification Support vector machine
117	Multi-Label Classification on Tree- and DAG-Structured Hierarchies Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:32 Artificial intelligence Support vector machine Supernode Statistical classification Directed acyclic graph Hierarchy Multi-label classification Precision and recall Pattern recognition Statistics Machine learning Science
118	Multi-Value Classification of Very Short Texts Andreas Heß, Philipp Dopichaj and Christian Maaß Lycos Europe GmbH, G¨ utersloh, Germany {andreas.hess,philipp.dopichaj,christian.maass}@lycos-europe.com Add to Reading List Source URL: www.andreas-hess.info Language: English - Date: 2009-08-03 17:00:44 Artificial intelligence Multiclass classification Multi-label classification Naive Bayes classifier Learning classifier system Classifier K-nearest neighbor algorithm Document classification Support vector machine Statistics Statistical classification Machine learning
119	Condensed Filter Tree for Cost-Sensitive Multi-Label Classification Chun-Liang Li R[removed]@ CSIE . NTU . EDU . TW Hsuan-Tien Lin HTLIN @ CSIE . NTU . EDU . TW Department of Computer Science and Information Engineering, Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Artificial intelligence Multi-label classification Linear classifier Multiclass classification Classifier chains Support vector machine Structured SVM K-nearest neighbor algorithm Pattern recognition Machine learning Statistics Statistical classification
120	Efﬁcient Multi-label Ranking for Multi-class Learning: Application to Object Recognition Serhat S. Bucak, Pavan Kumar Mallapragada, Rong Jin and Anil K. Jain Michigan State University East Lansing, MI 48824, USA {bucak Add to Reading List Source URL: biometrics.cse.msu.edu Language: English - Date: 2010-12-02 14:13:37 Statistical classification Support vector machine

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