190 search results - page 2 / 38 » Exploiting multiple classifier types with active learning |
ACL
2010
13 years 4 months ago
2010
We present a novel system that helps nonexperts find sets of similar words. The user begins by specifying one or more seed words. The system then iteratively suggests a series of ...
ECML
2006
Springer
13 years 10 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...
ALT
2010
Springer
13 years 8 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
PRIB
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...