179 search results - page 3 / 36 » Active learning in very large databases |
VLDB
1999
ACM
13 years 11 months ago
1999
ACM
stract This panel addresses a very important area that is often neglected or overlooked by database systems, database applications developers and data warehouse designers, namely s...
TIP
2008
13 years 6 months ago
2008
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
VLDB
2002
ACM
13 years 7 months ago
2002
ACM
Deduplication, a key operation in integrating data from multiple sources, is a time-consuming, labor-intensive and domainspecific operation. We present our design of alias that us...