Fuzzy ARTMAP with relevance factor

An incremental, nonparametric probability estimation procedure using a variation of the Fuzzy ARTMAP (FAM) neural network is introduced. The resulted network, called Fuzzy ARTMAP with relevance factor (FAMR), uses a relevance factor assigned to each sample pair, proportional to the importance of the respective pair during the learning phase. Experimental results have shown that FAMR favorably compares with FAM and probabilistic FAM, both as a classifier and as a probability estimator.

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