39 search results - page 4 / 8 » Multitask Learning with Expert Advice |
NIPS
2007
13 years 11 months ago
2007
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
KCAP
2011
ACM
13 years 20 days 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...
ALT
2009
Springer
14 years 2 months ago
2009
Springer
In this paper the sequential prediction problem with expert advice is considered for the case when the losses of experts suffered at each step can be unbounded. We present some mo...
ALT
2006
Springer
14 years 1 months ago
2006
Springer
In this paper the sequential prediction problem with expert advice is considered when the loss is unbounded under partial monitoring scenarios. We deal with a wide class of the par...
EUROCOLT
1999
Springer
14 years 2 months ago
1999
Springer
We consider algorithms for combining advice from a set of experts. In each trial, the algorithm receives the predictions of the experts and produces its own prediction. A loss func...