15 search results - page 1 / 3 » Adaptive Submodularity: A New Approach to Active Learning an... |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
IROS
2009
IEEE
13 years 11 months ago
2009
IEEE
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
PAKDD
2011
ACM
12 years 10 months ago
2011
ACM
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...