Fuzzy ARTMAP with Relevance Factor

Rǎzvan Andonie; Lucian Sasu; Valeriu Beiu

Fuzzy ARTMAP with Relevance Factor

Rǎzvan Andonie
, Lucian Sasu
, Valeriu Beiu

Research output: Contribution to conference › Paper › peer-review

Abstract

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 language	English
Pages	1975-1980
Number of pages	6
Publication status	Published - 2003
Externally published	Yes
Event	International Joint Conference on Neural Networks 2003 - Portland, OR, United States Duration: Jul 20 2003 → Jul 24 2003

Other

Other	International Joint Conference on Neural Networks 2003
Country/Territory	United States
City	Portland, OR
Period	7/20/03 → 7/24/03

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

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title = "Fuzzy ARTMAP with Relevance Factor",

abstract = "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.",

author = "Rǎzvan Andonie and Lucian Sasu and Valeriu Beiu",

year = "2003",

language = "English",

pages = "1975--1980",

note = "International Joint Conference on Neural Networks 2003 ; Conference date: 20-07-2003 Through 24-07-2003",

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TY - CONF

T1 - Fuzzy ARTMAP with Relevance Factor

AU - Andonie, Rǎzvan

AU - Sasu, Lucian

AU - Beiu, Valeriu

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0141459797

UR - https://www.scopus.com/pages/publications/0141459797#tab=citedBy

M3 - Paper

AN - SCOPUS:0141459797

SP - 1975

EP - 1980

T2 - International Joint Conference on Neural Networks 2003

Y2 - 20 July 2003 through 24 July 2003

ER -

Fuzzy ARTMAP with Relevance Factor

Abstract

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ASJC Scopus subject areas

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