1553 search results - page 115 / 311 » Learning from Multiple Sources of Inaccurate Data |
160
Voted
MLMI
2004
Springer
15 years 9 months ago
2004
Springer
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
147
Voted
CATE
2004
15 years 5 months ago
2004
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
230
Voted
BMCBI
2006
15 years 3 months ago
2006
Background: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as...
124
Voted
ICML
2002
IEEE
16 years 4 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...
102
Voted
IDA
2005
Springer
15 years 9 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...