215 search results - page 10 / 43 » Adaptive Informative Sampling for Active Learning |
ESANN
2006
13 years 9 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
DIS
2010
Springer
13 years 6 months ago
2010
Springer
Quantitative structure-activity relationships (QSARs) are regression models relating chemical structure to biological activity. Such models allow to make predictions for toxicologi...
PRIB
2010
Springer
13 years 6 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...
ICRA
2007
IEEE
14 years 1 months ago
2007
IEEE
— The exploration problem is a central issue in mobile robotics. A complete coverage is not practical if the environment is large with a few small hotspots, and the sampling cost...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...