Inductive Transduction
Inductive Transduction is a transduction principle that leverages inductive learning to infer general rules from labeled instances and applies them to unlabeled data within the same domain, distinguishing itself from direct transduction by incorporating a generalized model derived from the training process.
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1.3K
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60
Authors
19
Institutions
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2017–2026
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University College London
London, United Kingdom
1 h-index
1 publications
17 citations

Cornell University
Ithaca, United States
1 h-index
4 publications
1.4K citations

Howard Hughes Medical Institute
Chevy Chase, United States
1 h-index
3 publications
687 citations

University of Toronto
Toronto, Canada
1 h-index
2 publications
88 citations

Weizmann Institute of Science
Rehovot, Israel
1 h-index
2 publications
20 citations
The Rogosin Institute
New York, United States
1 h-index
4 publications
1.4K citations
Institute of Molecular and Cell Biology
Singapore, Singapore
1 h-index
4 publications
68 citations
Universitat Politècnica de València
Valencia, Spain
1 h-index
3 publications
594 citations
1–8 of 19
TPAMI · 2 publications · 245 citations
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2 publications · 176 citations
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1 publications · 76 citations
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SHM · 1 publications · 14 citations
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1 publications · 17 citations
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