Learning of Bounded Active Classifiers

@inproceedings{Kapoor2005LearningOB,
  title={Learning of Bounded Active Classifiers},
  author={Aloak Kapoor and Russell Greiner},
  year={2005}
}
Since resources for data acquisition are seldom infinite, the need exists for learners and classifiers that act intelligently under hard budgets. In this paper, we consider problems in which feature values are unknown to the learner and classifier, but can be acquired at a cost. The goal is a learner that spends its learning budget bL acquiring training data so as to produce the most accurate active classifier that spends at most bC per instance. From the learner’s perspective, purchasing every… CONTINUE READING

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