14 search results - page 1 / 3 » Active Learning with Adaptive Heterogeneous Ensembles |
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
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...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
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...