Workshop summary: the fourth workshop on evaluation methods for machine learning

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TypeArticle
Proceedings titleProceedings of the 26th Annual International Conference on Machine Learning
Series titleACM International Conference Proceeding Series; no. 382
ConferenceICML '09, the 26th Annual International Conference on Machine Learning, June 14-18, 2009, Montreal, QC, Canada
ISBN978-1-60558-516-1
Article number7
AbstractSemi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a model of the data's probability density can assist in identifying clusters.
Publication date
PublisherACM Press
LanguageEnglish
AffiliationNational Research Council Canada; NRC Institute for Information Technology
Peer reviewedYes
NPARC number23002092
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Record identifier87011539-49d5-4a8e-be9b-d0ef88cbf229
Record created2017-08-14
Record modified2017-08-14
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