1389 search results - page 1 / 278 » Active learning using pre-clustering |
ICALT
2006
IEEE
13 years 11 months ago
2006
IEEE
IMS Learning Design provides a counter to the trend towards designing for lone-learners reading from screens. It guides staff and educational developers to start not with content,...
ALT
2010
Springer
13 years 6 months ago
2010
Springer
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...
KDD
2009
ACM
13 years 11 months ago
2009
ACM
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
KI
2007
Springer
13 years 4 months ago
2007
Springer
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
ACL
2008
13 years 6 months ago
2008
Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of p...