2212 search results - page 33 / 443 » User-Based Active Learning |
IIR
2010
13 years 10 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
AIRS
2008
Springer
14 years 3 months ago
2008
Springer
Spam filtering is defined as a task trying to label emails with spam or ham in an online situation. The online feature requires the spam filter has a strong timely generalization a...
ECML
2006
Springer
14 years 16 days ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...