8970 search results - page 246 / 1794 » Learning to Learn Causal Models |
149
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ECML
2007
Springer
16 years 2 days ago
2007
Springer
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...
154
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
173
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
200
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
150
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DAWAK
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...