26 search results - page 3 / 6 » Active cleaning of label noise |
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper proposes a noise robust exemplar-based speech recognition system where noisy speech is modeled as a linear combination of a set of speech and noise exemplars. The metho...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
ICDM
2005
IEEE
13 years 12 months ago
2005
IEEE
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
ICASSP
2008
IEEE
14 years 24 days 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...
UAI
2004
13 years 7 months ago
2004
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...