2363 search results - page 167 / 473 » Learning Algorithms for Domain Adaptation |
137
click to vote
COLT
2008
Springer
15 years 5 months ago
2008
Springer
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
151
click to vote
KCAP
2011
ACM
14 years 6 months ago
2011
ACM
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
117
click to vote
ECML
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
123
click to vote
CORR
2010
Springer
15 years 3 months ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
110
click to vote
CONNECTION
2006
15 years 3 months ago
2006
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...