GENERALIZED RECURSIVE SPLITTING ALGORITHMS FOR LEARNING HYBRID CONCEPTS

Bruce Lambert; David Tcheng; Stephen C.Y. Lu

doi:10.1016/B978-1-55860-036-2.50129-6

GENERALIZED RECURSIVE SPLITTING ALGORITHMS FOR LEARNING HYBRID CONCEPTS

Bruce Lambert, David Tcheng, Stephen C.Y. Lu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

This paper describes the Competitive Relation Learner (CRL), a generalized recursive splitting algorithm capable of producing a wide range of hybrid concept representations through the competitive application of multiple learning strategies, multiple decomposition strategies, and multiple decomposition evaluation strategies. Experimental results are reported that demonstrate CRL's ability to outperform several well known fixed-bias strategies.

Original language	English (US)
Title of host publication	Proceedings of the 6th International Workshop on Machine Learning, ICML 1989
Editors	Alberto Maria Segre
Publisher	Morgan Kaufmann Publishers, Inc.
Pages	496-498
Number of pages	3
ISBN (Electronic)	1558600361, 9781558600362
DOIs	https://doi.org/10.1016/B978-1-55860-036-2.50129-6
State	Published - 1989
Externally published	Yes
Event	6th International Workshop on Machine Learning, ICML 1989 - Ithaca, United States Duration: Jun 26 1989 → Jun 27 1989

Publication series

Name	Proceedings of the 6th International Workshop on Machine Learning, ICML 1989

Conference

Conference	6th International Workshop on Machine Learning, ICML 1989
Country/Territory	United States
City	Ithaca
Period	6/26/89 → 6/27/89

Funding

This research was supported in part by the Applied Intelligent Systems Group of Digital Equipment Corporation and by the National Science Foundation (DMC-8657116).

ASJC Scopus subject areas

Human-Computer Interaction
Software
Theoretical Computer Science
Artificial Intelligence

Access to Document

10.1016/B978-1-55860-036-2.50129-6

Cite this

Lambert, B., Tcheng, D., & Lu, S. C. Y. (1989). GENERALIZED RECURSIVE SPLITTING ALGORITHMS FOR LEARNING HYBRID CONCEPTS. In A. M. Segre (Ed.), Proceedings of the 6th International Workshop on Machine Learning, ICML 1989 (pp. 496-498). (Proceedings of the 6th International Workshop on Machine Learning, ICML 1989). Morgan Kaufmann Publishers, Inc.. https://doi.org/10.1016/B978-1-55860-036-2.50129-6

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title = "GENERALIZED RECURSIVE SPLITTING ALGORITHMS FOR LEARNING HYBRID CONCEPTS",

abstract = "This paper describes the Competitive Relation Learner (CRL), a generalized recursive splitting algorithm capable of producing a wide range of hybrid concept representations through the competitive application of multiple learning strategies, multiple decomposition strategies, and multiple decomposition evaluation strategies. Experimental results are reported that demonstrate CRL's ability to outperform several well known fixed-bias strategies.",

author = "Bruce Lambert and David Tcheng and Lu, {Stephen C.Y.}",

note = "Publisher Copyright: {\textcopyright} Proceedings of the 6th International Workshop on Machine Learning, ICML 1989.; 6th International Workshop on Machine Learning, ICML 1989 ; Conference date: 26-06-1989 Through 27-06-1989",

year = "1989",

doi = "10.1016/B978-1-55860-036-2.50129-6",

language = "English (US)",

series = "Proceedings of the 6th International Workshop on Machine Learning, ICML 1989",

publisher = "Morgan Kaufmann Publishers, Inc.",

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editor = "Segre, {Alberto Maria}",

booktitle = "Proceedings of the 6th International Workshop on Machine Learning, ICML 1989",

address = "United States",

}

Lambert, B, Tcheng, D & Lu, SCY 1989, GENERALIZED RECURSIVE SPLITTING ALGORITHMS FOR LEARNING HYBRID CONCEPTS. in AM Segre (ed.), Proceedings of the 6th International Workshop on Machine Learning, ICML 1989. Proceedings of the 6th International Workshop on Machine Learning, ICML 1989, Morgan Kaufmann Publishers, Inc., pp. 496-498, 6th International Workshop on Machine Learning, ICML 1989, Ithaca, United States, 6/26/89. https://doi.org/10.1016/B978-1-55860-036-2.50129-6

GENERALIZED RECURSIVE SPLITTING ALGORITHMS FOR LEARNING HYBRID CONCEPTS. / Lambert, Bruce; Tcheng, David; Lu, Stephen C.Y.
Proceedings of the 6th International Workshop on Machine Learning, ICML 1989. ed. / Alberto Maria Segre. Morgan Kaufmann Publishers, Inc., 1989. p. 496-498 (Proceedings of the 6th International Workshop on Machine Learning, ICML 1989).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - GENERALIZED RECURSIVE SPLITTING ALGORITHMS FOR LEARNING HYBRID CONCEPTS

AU - Lambert, Bruce

AU - Tcheng, David

AU - Lu, Stephen C.Y.

PY - 1989

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N2 - This paper describes the Competitive Relation Learner (CRL), a generalized recursive splitting algorithm capable of producing a wide range of hybrid concept representations through the competitive application of multiple learning strategies, multiple decomposition strategies, and multiple decomposition evaluation strategies. Experimental results are reported that demonstrate CRL's ability to outperform several well known fixed-bias strategies.

AB - This paper describes the Competitive Relation Learner (CRL), a generalized recursive splitting algorithm capable of producing a wide range of hybrid concept representations through the competitive application of multiple learning strategies, multiple decomposition strategies, and multiple decomposition evaluation strategies. Experimental results are reported that demonstrate CRL's ability to outperform several well known fixed-bias strategies.

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DO - 10.1016/B978-1-55860-036-2.50129-6

M3 - Conference contribution

AN - SCOPUS:84918627904

T3 - Proceedings of the 6th International Workshop on Machine Learning, ICML 1989

SP - 496

EP - 498

BT - Proceedings of the 6th International Workshop on Machine Learning, ICML 1989

A2 - Segre, Alberto Maria

PB - Morgan Kaufmann Publishers, Inc.

T2 - 6th International Workshop on Machine Learning, ICML 1989

Y2 - 26 June 1989 through 27 June 1989

ER -

Lambert B, Tcheng D, Lu SCY. GENERALIZED RECURSIVE SPLITTING ALGORITHMS FOR LEARNING HYBRID CONCEPTS. In Segre AM, editor, Proceedings of the 6th International Workshop on Machine Learning, ICML 1989. Morgan Kaufmann Publishers, Inc. 1989. p. 496-498. (Proceedings of the 6th International Workshop on Machine Learning, ICML 1989). doi: 10.1016/B978-1-55860-036-2.50129-6

GENERALIZED RECURSIVE SPLITTING ALGORITHMS FOR LEARNING HYBRID CONCEPTS

Abstract

Publication series

Conference

Funding

ASJC Scopus subject areas

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