661 search results - page 104 / 133 » Generalized clustering, supervised learning, and data assign... |
BMCBI
2008
13 years 8 months ago
2008
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
JMLR
2006
13 years 8 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
PAMI
2008
13 years 8 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
ITICSE
2006
ACM
14 years 2 months ago
2006
ACM
Learning elementary programming can be enhanced by introducing the notion of variable roles to students. This paper presents a web-based automatic role detection service that can ...