Experimental Comparisons of Semi-Supervised and Supervised ART Classifiers (Invited Talk)

We present a series of experimental results that reveal the merits of the semi-supervised learning when applied to two different types of ART architectures (Fuzzy ARTMAP and Ellipsoidal ARTMAP). The concept of semi-supervised learning (SSL) was first introduced in the Simplified Boosted ARTMAP architecture by Verzi, et al., 2002, and was extended to Boosted Ellipsoidal ARTMAP by Anagnostopoulos, et al., 2002.