Fusion Rule Learning
Fusion Rule Learning is a machine learning methodology that specifically involves the acquisition and optimization of decision rules for combining outputs from multiple classifiers or sensors at the decision level to enhance overall system performance.
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785
Citations
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Authors
32
Institutions
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2017–2026
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Sara del Río, Victoria López, José M. Benítez et al. · International Journal of Computational Intelligence Systems · 2015 · 98 citations · Full text
Algorithm for WZW fusion rules: A proof
Mark A. Walton · Physics Letters B · 1990 · 88 citations
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Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
4 publications
53 citations

Indian Statistical Institute
Kolkata, India
2 h-index
4 publications
94 citations
Consejo Superior de Investigaciones Científicas
Madrid, Spain
1 h-index
2 publications
34 citations
Kunming University
Kunming, China
1 h-index
1 publications
19 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
60 citations
Università Campus Bio-Medico
Rome, Italy
1 h-index
2 publications
200 citations

Universidad de Granada
Granada, Spain
1 h-index
4 publications
392 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
1 publications
10 citations
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2 publications · 56 citations
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1 publications · 23 citations
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1 publications · 37 citations
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1 publications · 13 citations
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1 publications · 28 citations
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