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

May 2003

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2003)

Volume

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2003)

All Papers

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.