Defect rate evaluation via simple active learning

Defect rate evaluation via simple active learning

In the preparatory stage of product manufacturing, its defect risk is often evaluated by checking whether experimentally manufactured products cause the defect or not. The experimentally manufacturing is conducted for various values of variables which may related the defect, but manufacturing products for all combinations of the values will cost a lot especially when the number of variables is ...

Increasing Learning Rate via Active Goal Selection 1

Active Imitation Learning via Reduction to I.I.D. Active Learning

In standard passive imitation learning, the goal is to learn a target policy by passively observing full execution trajectories of it. Unfortunately, generating such trajectories can require substantial expert effort and be impractical in some cases. In this paper, we consider active imitation learning with the goal of reducing this effort by querying the expert about the desired action at indi...

Active Learning via Random Walk

The basic goal in any classification problem is to identify a decision rule which assigns each test instances into one of the possible classes with a high degree of accuracy. Learning a good classifier requires a sufficient number of labeled training instances. However, the labels are often difficult, expensive or time consuming to obtain, as they may require experienced human annotators, for e...

Active Learning

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