Instance-based Learning Algorithm

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An Instance-based Learning Algorithm is a supervised learning algorithm that uses the learning instances themselves to make predictions (it does not generalize in terms of a higher language than the instances themselves).



References

2011

1999

1997

1996

1993

  • (Quinlan, 1993) ⇒ J. Ross Quinlan. (1993). "Combining Instance-based and Model-based Learning." In: Proceedings of the Tenth International Conference on Machine Learning.
  • (Cost & Salzberg, 1993) ⇒ S. Cost, and S. Salzberg. (1993). "A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features." In: Machine Learning, 10.

1991

1967