695 search results - page 80 / 139 » Efficient Algorithms for General Active Learning |
106
click to vote
KES
2006
Springer
14 years 12 months ago
2006
Springer
The issue of Automatic Relevance Determination (ARD) has attracted attention over the last decade for the sake of efficiency and accuracy of classifiers, and also to extract knowle...
DIS
2009
Springer
15 years 6 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Classifiers are often used to detect miscreant activities. We study how an adversary can systematically query a classifier to elicit information that allows the adversary to evade...
106
click to vote
GECCO
2008
Springer
15 years 29 days ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...