Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted ellipsoid ARTMAP

Georgios C. Anagnostopoulos; Michael Georgiopoulos; Stephen J. Verzi; Gregory L. Heileman

Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted ellipsoid ARTMAP

Georgios C. Anagnostopoulos
, Michael Georgiopoulos
, Stephen J. Verzi
, Gregory L. Heileman

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

Abstract

In this paper we introduce Boosted Ellipsoid ARTMAP (bEAM), a variant of Ellipsoid ARTMAP, which via a tunable misclassification error tolerance increases the network's resubstitution error and implicitly performs structural risk minimization. bEAM constitutes another example of how modifications to Fuzzy ARTMAP can be naturally extended to Ellipsoid ARTMAP.

Original language	English (US)
Pages	2650-2655
Number of pages	6
State	Published - 2002
Externally published	Yes
Event	2002 International Joint Conference on Neural Networks (IJCNN'02) - Honolulu, HI, United States Duration: May 12 2002 → May 17 2002

Conference

Conference	2002 International Joint Conference on Neural Networks (IJCNN'02)
Country/Territory	United States
City	Honolulu, HI
Period	5/12/02 → 5/17/02

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted ellipsoid ARTMAP. / Anagnostopoulos, Georgios C.; Georgiopoulos, Michael; Verzi, Stephen J. et al.
2002. 2650-2655 Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN'02), Honolulu, HI, United States.

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

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title = "Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted ellipsoid ARTMAP",

abstract = "In this paper we introduce Boosted Ellipsoid ARTMAP (bEAM), a variant of Ellipsoid ARTMAP, which via a tunable misclassification error tolerance increases the network's resubstitution error and implicitly performs structural risk minimization. bEAM constitutes another example of how modifications to Fuzzy ARTMAP can be naturally extended to Ellipsoid ARTMAP.",

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year = "2002",

language = "English (US)",

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note = "2002 International Joint Conference on Neural Networks (IJCNN'02) ; Conference date: 12-05-2002 Through 17-05-2002",

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T2 - 2002 International Joint Conference on Neural Networks (IJCNN'02)

AU - Anagnostopoulos, Georgios C.

AU - Georgiopoulos, Michael

AU - Verzi, Stephen J.

AU - Heileman, Gregory L.

PY - 2002

Y1 - 2002

N2 - In this paper we introduce Boosted Ellipsoid ARTMAP (bEAM), a variant of Ellipsoid ARTMAP, which via a tunable misclassification error tolerance increases the network's resubstitution error and implicitly performs structural risk minimization. bEAM constitutes another example of how modifications to Fuzzy ARTMAP can be naturally extended to Ellipsoid ARTMAP.

AB - In this paper we introduce Boosted Ellipsoid ARTMAP (bEAM), a variant of Ellipsoid ARTMAP, which via a tunable misclassification error tolerance increases the network's resubstitution error and implicitly performs structural risk minimization. bEAM constitutes another example of how modifications to Fuzzy ARTMAP can be naturally extended to Ellipsoid ARTMAP.

UR - https://www.scopus.com/pages/publications/0036086188

UR - https://www.scopus.com/pages/publications/0036086188#tab=citedBy

M3 - Paper

AN - SCOPUS:0036086188

SP - 2650

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Y2 - 12 May 2002 through 17 May 2002

ER -

Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted ellipsoid ARTMAP

Abstract

Conference

ASJC Scopus subject areas

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