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doi.org/10.1007/s40687-022-00371-x
Rates of convergence for Laplacian semi-supervised learning with low labeling rates
Jeff Calder
16
,
Dejan Slepčev
23
,
Matthew Thorpe
11
View all 3 authors
Research in the Mathematical Sciences
Volume: 10, Issue: 1
Published
: Feb 7, 2023
15
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Paper Fields
Combinatorics
Discrete mathematics
Physics
Channel (broadcasting)
Computer network
Mathematics
Logarithm
Random walk
Statistics
Laplacian matrix
Laplace operator
Mathematical analysis
Computer science
Quantum mechanics
Degenerate energy levels
Applied mathematics
Rate of convergence
Paper Details
Title
Rates of convergence for Laplacian semi-supervised learning with low labeling rates
DOI
doi.org/10.1007/s40687-022-00371-x
Published Date
Feb 7, 2023
Journal
Research in the Mathematical Sciences
Volume
10
Issue
1
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History
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