313 search results - page 27 / 63 » Hierarchical sampling for active learning |
AAAI
2010
14 years 10 days ago
2010
Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense th...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
IGARSS
2009
13 years 8 months ago
2009
Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...
ICASSP
2009
IEEE
14 years 5 months ago
2009
IEEE
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the rec...