163 search results - page 2 / 33 » Average-Case Active Learning with Costs |
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
ACL
2008
13 years 6 months ago
2008
Traditional Active Learning (AL) techniques assume that the annotation of each datum costs the same. This is not the case when annotating sequences; some sequences will take longe...
EMNLP
2004
13 years 6 months ago
2004
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
COLING
2010
12 years 12 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
FOIKS
2008
Springer
13 years 6 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space Y conditioned on points in an observation space X , given a training dataset D of pair...