23 search results - page 2 / 5 » Multi-Criteria-Based Strategy to Stop Active Learning for Da... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Many applications of spoken-language systems can benefit from having access to annotations of prosodic events. Unfortunately, obtaining human annotations of these events, even se...
COLING
2010
13 years 3 days 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...
KCAP
2009
ACM
13 years 11 months ago
2009
ACM
In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...