68 search results - page 1 / 14 » A stopping criterion for active learning |
CSL
2008
Springer
13 years 4 months ago
2008
Springer
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
COLING
2008
13 years 6 months ago
2008
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
CSL
2010
Springer
13 years 4 months ago
2010
Springer
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
FOIKS
2008
Springer
14 years 1 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
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...