2321 search results - page 35 / 465 » Multiple Predicate Learning |
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
NIPS
2007
14 years 11 months ago
2007
We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...
ICML
2009
IEEE
15 years 4 months ago
2009
IEEE
We describe a probabilistic approach for supervised learning when we have multiple experts/annotators providing (possibly noisy) labels but no absolute gold standard. The proposed...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
: