105 search results - page 4 / 21 » A batch ensemble approach to active learning with model sele... |
CIKM
2010
Springer
13 years 5 months ago
2010
Springer
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
ICML
2002
IEEE
14 years 7 months ago
2002
IEEE
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
CBMS
2008
IEEE
13 years 9 months ago
2008
IEEE
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
AI
2004
Springer
13 years 6 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...