Active Class Selection

@inproceedings{Lomasky2007ActiveCS,
  title={Active Class Selection},
  author={Rachel Lomasky and Carla E. Brodley and M. Aernecke and D. Walt and Mark A. Friedl},
  booktitle={ECML},
  year={2007}
}
This paper presents Active Class Selection (ACS), a new class of problems for multi-class supervised learning. If one can control the classes from which training data is generated, utilizing feedback during learning to guide the generation of new training data will yield better performance than learning from any a priori fixed class distribution. ACS is the process of iteratively selecting class proportions for data generation. In this paper we present several methods for ACS. In an empirical… CONTINUE READING
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