313 search results - page 19 / 63 » Hierarchical sampling for active learning |
CSL
2010
Springer
13 years 11 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...
TCBB
2011
13 years 5 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
FOIKS
2008
Springer
14 years 7 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 $D$...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
INTERSPEECH
2010
13 years 5 months ago
2010
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...