Combining labeled and unlabeled data with co-training

Keywords

Citation, Eleventh, Computer science, Library science

References

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• A Benchmark Dataset for Audio Classification and ClusteringHelge Homburg, Ingo Mierswa, Bülent Möller — 2005
• Cluster-based semi-supervised ensemble learningRodrigo G. F. Soares — 2014
• Un turc mécanique pour les ressources linguistiques : critique de la myriadisation du travail parcellisé (Mechanical Turk for linguistic resources: review of the crowdsourcing of parceled work)Benoît Sagot, Karën Fort, Gilles Adda — 2011
• Semi-Supervised Learning through Principal Directions EstimationOlivier Chapelle, Bernhard Schölkopf, Jason Weston — 2003
• Extraction de couples nom-verbe sémantiquement liés : une technique symbolique automatiqueVincent Claveau — 2003
• Active Learning with Strong and Weak Views: A Case Study on Wrapper InductionIon Muslea, Steven Minton, Craig A. Knoblock — 2003
• Exploiting structure defined by data in machine learning : some new analysesGreg Lever — 2011
• Learning Mixtures of Product Distributions Using Correlations and IndependenceKamalika Chaudhuri, Satish Rao — 2008
• Multi-Aspect Tagging for Collaborative StructuringKatharina Morik, Michael Wurst — 2007
• Feature-based transfer learning with real-world applicationsJialin Pan — 2010
• Learning to Classify Texts Using Positive and Unlabeled DataXiaoli Li, Bing Liu — 2003
• Improving Pronunciation Accuracy of Proper Names with Language Origin ClassesAriadna Font Llitjós — 2001
• Multi-modal Classification in a One-class SettingMatthijs Hovelynck — 2010
• Impact of the blood sampling site on time-concentration drug profiles following intravenous or buccal drug administration.Shaul Markovitch, Oren Shnitzer — 2014
• A different interpretation of the efficacy of lung cancer screening in the PLCO trialZhongmin Shi — 2016
• Semi-supervised extractive speech summarization via co-training algorithmShasha Xie, Hui Lin, Yang Liu — 2010
• Collaborative Object Tracking Based on Co-TrainingWenyuan Wang — 2009
• TPN 2 : Using positive-only learning to deal with the heterogeneity of labeled and unlabeled dataNikolaos Trogkanis, Γεώργιος Παλιούρας — 2006
• Corpus Based Unsupervised Labeling of DocumentsDelip Rao, P Deepak, Deepak Khemani — 2006

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