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Multi-label classification
Results: 131

#	Item
41	Learning from Ambiguously Labeled Images Timothee Cour, Benjamin Sapp, Chris Jordan, Ben Taskar University of Pennsylvania 3330, Walnut Street {timothee,bensapp,wjc,taskar}@seas.upenn.edu Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2009-04-22 15:14:38 Statistical classification Machine learning Learning Artificial intelligence Semi-supervised learning Support vector machine Supervised learning K-nearest neighbors algorithm Linear classifier Multi-label classification Cross entropy Hinge loss
42	Multi-Label Classification with Meta Labels Jesse Read(1) , Antti Puurula(2) , Albert BifetAalto University and HIIT, Finland (2) University of Waikato, New Zealand Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-12-17 04:46:54 Multi-label classification Label
43	Multi-label Classification with Meta-labels Jesse Read Antti Puurula Albert Bifet Add to Reading List Source URL: perso.telecom-paristech.fr Language: English Machine learning Statistical classification Classifier chains Multi-label classification Computational neuroscience Support vector machine Artificial neural network Ensemble learning Pattern recognition
44	Journal of Machine Learning ResearchSubmitted 5/12; Revised 6/15; Published 2/16 Meka: A Multi-label/Multi-target Extension to Weka Jesse Read Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-04-23 16:19:00 Multi-label classification Machine learning Classifier chains Massive Online Analysis Statistical classification Weka Classifier
45	Generating Synthetic Multi-label Data Streams Jesse Read, Bernhard Pfahringer, Geoff Holmes Department of Computer Science The University of Waikato Hamilton, New Zealand {jmr30,bernhard,geoff}@cs.waikato.ac.nz Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Machine learning Multi-label classification Concept drift Label Statistical classification Synthetic data Classifier chains Pattern recognition
46	Synthetic Multi-label Data Streams Jesse Read, Bernhard Pfahringer, Geoff Holmes University of Waikato, Hamilton, New Zealand Feature Space Introduction Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Machine learning Concept drift Data mining Slashdot Multi-label classification
47	TreeBoost.MH: A Boosting Algorithm for Multi-label Hierarchical Text Categorization Andrea Esuli, Tiziano Fagni, and Fabrizio Sebastiani Istituto di Scienza e Tecnologia dell’Informazione Consiglio Nazionale delle Rice Add to Reading List Source URL: www.esuli.it Language: English - Date: 2015-12-11 11:27:09 Ensemble learning Boosting AdaBoost Carl Johnson Decision stump Multi-label classification Machine learning
48	Multi-label Classification using Ensembles of Pruned Sets Jesse Read, Bernhard Pfahringer, Geoff Holmes University of Waikato New Zealand ICDM 2008, December 15, 2008. Pisa, Italy Add to Reading List Source URL: jmread.github.io Language: English - Date: 2016-05-18 09:25:59
49	Classifier Chains for Multi-label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank University of Waikato, Hamilton, New Zealand Experiments Introduction Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Statistical classification Classifier chains Machine learning Multi-label classification Support vector machine Classifier Ensemble learning
50	Scalable Multi-label Classification Jesse Read Supervised by Bernhard Pfahringer and Geoff Holmes Machine Learning Group University of Waikato New Zealand Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2011-01-21 04:46:36 Machine learning Multi-label classification Statistical classification Supervised learning Test set Pattern recognition Support vector machine