624 search results - page 60 / 125 » The Tradeoffs of Large Scale Learning |
BMCBI
2011
13 years 2 months ago
2011
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
VLDB
2008
ACM
14 years 8 months ago
2008
ACM
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystembased network management are characterized by data stored on l...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...