NIPS
2004
13 years 6 months ago
2004
act out the core search problem of active learning schemes, to better understand the extent to which adaptive labeling can improve sample complexity. We give various upper and low...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...