Boosted ARTMAP

Stephen J. Verzi; Gregory L. Heileman; Michael Georgiopoulos; Michael J. Healy

Boosted ARTMAP

Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos, Michael J. Healy

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

Abstract

We present a modification to the Fuzzy ARTMAP neural network architecture for conducting boosted learning in a probabilistic setting. We call this new architecture boosted ARTMAP (BARTMAP). Performance comparison with Fuzzy ARTMAP, PROBART and ART-EMAP on some simple two-class problems is discussed. Experimental results indicate that BARTMAP gives better generalization results on some problems involving classification overlap. In addition BARTMAP requires fewer resources, i.e., network nodes, to achieve performance levels comparable to those in Fuzzy ARTMAP.

Original language	English (US)
Pages	396-401
Number of pages	6
State	Published - 1998
Externally published	Yes
Event	Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) - Anchorage, AK, USA Duration: May 4 1998 → May 9 1998

Conference

Conference	Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3)
City	Anchorage, AK, USA
Period	5/4/98 → 5/9/98

ASJC Scopus subject areas

Software

Cite this

@conference{d44bfec520664371898bf22009f33e66,

title = "Boosted ARTMAP",

abstract = "We present a modification to the Fuzzy ARTMAP neural network architecture for conducting boosted learning in a probabilistic setting. We call this new architecture boosted ARTMAP (BARTMAP). Performance comparison with Fuzzy ARTMAP, PROBART and ART-EMAP on some simple two-class problems is discussed. Experimental results indicate that BARTMAP gives better generalization results on some problems involving classification overlap. In addition BARTMAP requires fewer resources, i.e., network nodes, to achieve performance levels comparable to those in Fuzzy ARTMAP.",

author = "Verzi, {Stephen J.} and Heileman, {Gregory L.} and Michael Georgiopoulos and Healy, {Michael J.}",

year = "1998",

language = "English (US)",

pages = "396--401",

note = "Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) ; Conference date: 04-05-1998 Through 09-05-1998",

}

TY - CONF

T1 - Boosted ARTMAP

AU - Verzi, Stephen J.

AU - Heileman, Gregory L.

AU - Georgiopoulos, Michael

AU - Healy, Michael J.

PY - 1998

Y1 - 1998

N2 - We present a modification to the Fuzzy ARTMAP neural network architecture for conducting boosted learning in a probabilistic setting. We call this new architecture boosted ARTMAP (BARTMAP). Performance comparison with Fuzzy ARTMAP, PROBART and ART-EMAP on some simple two-class problems is discussed. Experimental results indicate that BARTMAP gives better generalization results on some problems involving classification overlap. In addition BARTMAP requires fewer resources, i.e., network nodes, to achieve performance levels comparable to those in Fuzzy ARTMAP.

AB - We present a modification to the Fuzzy ARTMAP neural network architecture for conducting boosted learning in a probabilistic setting. We call this new architecture boosted ARTMAP (BARTMAP). Performance comparison with Fuzzy ARTMAP, PROBART and ART-EMAP on some simple two-class problems is discussed. Experimental results indicate that BARTMAP gives better generalization results on some problems involving classification overlap. In addition BARTMAP requires fewer resources, i.e., network nodes, to achieve performance levels comparable to those in Fuzzy ARTMAP.

UR - http://www.scopus.com/inward/record.url?scp=0031631016&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031631016&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0031631016

SP - 396

EP - 401

T2 - Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3)

Y2 - 4 May 1998 through 9 May 1998

ER -

Boosted ARTMAP

Abstract

Conference

ASJC Scopus subject areas

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