A refinement approach to handling model misfit in semi-supervised learning

Publication Type:
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, pp. 75 - 86
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2010003109OK.pdf441.25 kB
Adobe PDF
Semi-supervised learning has been the focus of machine learning and data mining research in the past few years. Various algorithms and techniques have been proposed, from generative models to graph-based algorithms. In this work, we focus on the Cluster-
Please use this identifier to cite or link to this item: