661 search results - page 10 / 133 » Generalized clustering, supervised learning, and data assign... |
GECCO
2006
Springer
14 years 1 days ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
FLAIRS
2006
13 years 9 months ago
2006
Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of ...
COLT
2008
Springer
13 years 10 months ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
BMCBI
2010
13 years 8 months ago
2010
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...