PEBLSParallel Exemplar-Based Learning System
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This distance metric of PEBLS is adapted from the value-difference metric of the earlier work of Stanfill and Waltz (1986).
PEBLS then determines the k training examples with the shortest distance to the test example.
Recently, Ng (1997a) compared the naive-Bayes algorithm with the exemplar-based algorithm PEBLS on the DSO National Laboratories corpus (Ng and Lee 1996), using a larger value of k (k = 20) and 10-fold cross validation to automatically determine the best k.