Fuzzy ARTMAP with Relevance Factor

Rǎzvan Andonie, Lucian Sasu, Valeriu Beiu

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


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 (PFAM, denned in [1], [2]), both as a classifier and as a probability estimator.

Original languageEnglish
Number of pages6
Publication statusPublished - 2003
Externally publishedYes
EventInternational Joint Conference on Neural Networks 2003 - Portland, OR, United States
Duration: Jul 20 2003Jul 24 2003


OtherInternational Joint Conference on Neural Networks 2003
Country/TerritoryUnited States
CityPortland, OR

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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