Adaptive View Validation: A First Step Towards Automatic View Detection

@inproceedings{Muslea2002AdaptiveVV,
  title={Adaptive View Validation: A First Step Towards Automatic View Detection},
  author={Ion Muslea and Steven Minton and Craig A. Knoblock},
  booktitle={ICML},
  year={2002}
}
Multi-view algorithms reduce the amount of required training data by partitioning the domain features into separate subsets or views that are sufficient to learn the target concept. Such algorithms rely on the assumption that the views aresufficiently compatiblefor multi-view learning (i.e., mostexamples are labeled identically in all views). In practice, it is unclear whether or not two views are sufficiently compatible for solving a new, unseen learning task. In order to cope with this… CONTINUE READING
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