SBL-PM: A Simple Algorithm for Selection of Reference Instances in Similarity Based Methods
Karol Grudziński, Włodzisław Duch · Intelligent Information Systems · 2000
SBL-PM is a simple algorithm for selection of reference instances, a first step towards building a partial memory learner. A batch and on-line version of the algorithm is presented, allowing to find a compromise between the number of reference cases retained and the accuracy of the system. Preliminary experiments on real and artificial datasets illustrate these relations. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.