190 search results - page 1 / 38 » Exploiting multiple classifier types with active learning |
GECCO
2009
Springer
13 years 8 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
MM
2005
ACM
13 years 10 months ago
2005
ACM
The authors developed an extensible system for video exploitation that puts the user in control to better accommodate novel situations and source material. Visually dense displays...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
ECML
1993
Springer
13 years 8 months ago
1993
Springer
This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...