On Active Learning for Data Acquisition

  title={On Active Learning for Data Acquisition},
  author={Zhiqiang Zheng and Balaji Padmanabhan},
Many applications are characterized by having naturally incomplete data on customers – where data on only some fixed set of local variables is gathered. However, having a more complete picture can help build better models. The naïve solution to this problem – acquiring complete data for all customers – is often impractical due to the costs of doing so. A possible alternative is to acquire complete data for “some” customers and to use this to improve the models built. The data acquisition… CONTINUE READING
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