185 search results - page 9 / 37 » An empirical evaluation of supervised learning in high dimen... |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
ICCV
2009
IEEE
15 years 15 days ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
ACL
2006
13 years 9 months ago
2006
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...
INFOVIS
1998
IEEE
13 years 11 months ago
1998
IEEE
The order and arrangement of dimensions (variates) is crucial for the effectiveness of a large number of visualization techniques such as parallel coordinates, scatterplots, recur...