Incremental Concept Learning for Bounded Data Mining

@article{Case1997IncrementalCL,
  title={Incremental Concept Learning for Bounded Data Mining},
  author={James Case and Sanjay Jain and Steffen Lange and Thomas Zeugmann},
  journal={Inf. Comput.},
  year={1997},
  volume={152},
  pages={74-110}
}
Important refinements of concept learning in the limit from positive data considerably restricting the accessibility of input data are studied. Let c be any concept; every infinite sequence of elements exhausting c is called positive presentation of c. In all learning models considered the learning machine computes a sequence of hypotheses about the target concept from a positive presentation of it. With iterative learning, the learning machine, in making a conjecture, has access to its… CONTINUE READING

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