Look-ahead learning algorithm for inductive learning through examples

Ray R. Hashemi; Frederick R. Jelovsek

Look-ahead learning algorithm for inductive learning through examples

Ray R. Hashemi, Frederick R. Jelovsek

Computer Science

University of Arkansas at Little Rock

Research output: Contribution to book or proceeding › Conference article › peer-review

1 Scopus citations

Abstract

Previously, the superiority of the LEARN algorithm over the ID3 algorithm was established. In this paper, a look ahead learning algorithm (LA-LEARN) along with its analysis is presented. The algorithm LA-LEARN, in contrast to the algorithm LEARN, guarantees the minimal resulting rules. The algorithms LA-LEARN, LEARN, and ID3 were compared through an empirical approach.

Original language	English
Title of host publication	Applied Computing
Subtitle of host publication	Technological Challenges of the 1990's
Publisher	Publ by ACM
Pages	603-607
Number of pages	5
ISBN (Print)	089791502X
State	Published - 1992
Event	Proceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92 - Kansas City, KS, USA Duration: Mar 1 1992 → Mar 3 1992

Publication series

Name	Applied Computing: Technological Challenges of the 1990's

Conference

Conference	Proceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92
City	Kansas City, KS, USA
Period	03/1/92 → 03/3/92

Cite this

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title = "Look-ahead learning algorithm for inductive learning through examples",

abstract = "Previously, the superiority of the LEARN algorithm over the ID3 algorithm was established. In this paper, a look ahead learning algorithm (LA-LEARN) along with its analysis is presented. The algorithm LA-LEARN, in contrast to the algorithm LEARN, guarantees the minimal resulting rules. The algorithms LA-LEARN, LEARN, and ID3 were compared through an empirical approach.",

author = "Hashemi, {Ray R.} and Jelovsek, {Frederick R.}",

year = "1992",

language = "English",

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booktitle = "Applied Computing",

note = "Proceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92 ; Conference date: 01-03-1992 Through 03-03-1992",

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AU - Hashemi, Ray R.

AU - Jelovsek, Frederick R.

PY - 1992

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N2 - Previously, the superiority of the LEARN algorithm over the ID3 algorithm was established. In this paper, a look ahead learning algorithm (LA-LEARN) along with its analysis is presented. The algorithm LA-LEARN, in contrast to the algorithm LEARN, guarantees the minimal resulting rules. The algorithms LA-LEARN, LEARN, and ID3 were compared through an empirical approach.

AB - Previously, the superiority of the LEARN algorithm over the ID3 algorithm was established. In this paper, a look ahead learning algorithm (LA-LEARN) along with its analysis is presented. The algorithm LA-LEARN, in contrast to the algorithm LEARN, guarantees the minimal resulting rules. The algorithms LA-LEARN, LEARN, and ID3 were compared through an empirical approach.

UR - http://www.scopus.com/inward/record.url?scp=0026961409&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0026961409

SN - 089791502X

T3 - Applied Computing: Technological Challenges of the 1990's

SP - 603

EP - 607

BT - Applied Computing

PB - Publ by ACM

T2 - Proceedings of the 1992 ACM/SIGAPP Symposium on Applied Computing - SAC '92

Y2 - 1 March 1992 through 3 March 1992

ER -

Look-ahead learning algorithm for inductive learning through examples

Abstract

Publication series

Conference

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