Pattern-based Generation
Pattern-Based Generation is a methodological construct in computational and cognitive sciences that generates outputs by systematically applying predefined structural regularities, distinguishing it from other generative approaches through its reliance on explicit, rule-based patterns as the primary mechanism for producing novel instances.
36
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1.4K
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101
Authors
53
Institutions
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2017–2026
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Depth first generation of long patterns
Ramesh C. Agarwal, Charų C. Aggarwal, Vara Prasad · 2000 · 322 citations
Producing pattern examples from “mental” images
Bruno P. A. Grieco, Priscila M. V. Lima, Massimo De Gregorio et al. · Neurocomputing · 2010 · 55 citations
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Mentor Technologies
Tulsa, United States
2 h-index
2 publications
68 citations
IBM Research (China)
Beijing, China
1 h-index
2 publications
74 citations
King's College School
London, United Kingdom
1 h-index
1 publications
35 citations
University Hospital of Zurich
Zurich, Switzerland
1 h-index
1 publications
41 citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
1 h-index
3 publications
165 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
4 publications
80 citations
University of Castilla-La Mancha
Ciudad Real, Spain
1 h-index
1 publications
34 citations
UCLouvain
Louvain-la-Neuve, Belgium
1 h-index
1 publications
34 citations
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2 publications · 73 citations
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Repository · 1 publications · 11 citations
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JSLW · 1 publications · 40 citations
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1 publications · 157 citations
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Conference · 1 publications · 15 citations
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