313 search results - page 15 / 63 » Hierarchical sampling for active learning |
CORR
2011
Springer
13 years 5 months ago
2011
Springer
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
APSCC
2008
IEEE
14 years 5 months ago
2008
IEEE
— We discuss a learning model that enables the creation of optimal learning strategies that suit learners’ needs. A customized learning content is delivered to learners as mana...
PRIB
2010
Springer
13 years 9 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...
ICDM
2006
IEEE
14 years 4 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
ICIP
2007
IEEE
15 years 14 days ago
2007
IEEE
The problem of human activity recognition via visual stimuli can be approached using manifold learning, since the silhouette (binary) images of a person undergoing a smooth motion...