919 search results - page 114 / 184 » Generalizing over Several Learning Settings |
113
click to vote
SIGIR
2006
ACM
15 years 7 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
117
click to vote
BMCBI
2006
15 years 1 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
120
click to vote
DAGM
2010
Springer
15 years 2 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
199
click to vote
GIS
2007
ACM
16 years 2 months ago
2007
ACM
We consider the problem of extracting a river network and a watershed hierarchy from a terrain given as a set of irregularly spaced points. We describe TerraStream, a "pipeli...
125
click to vote
SIGIR
2002
ACM
15 years 1 months ago
2002
ACM
Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...