313 search results - page 30 / 63 » Hierarchical sampling for active learning |
AAAI
2000
14 years 7 days ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
CEAS
2006
Springer
14 years 2 months ago
2006
Springer
One of the biggest challenges in building effective anti-spam solutions is designing systems to defend against the everevolving bag of tricks spammers use to defeat them. Because ...
DGO
2008
14 years 10 days ago
2008
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
MIR
2004
ACM
14 years 4 months ago
2004
ACM
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...