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The adaptive projected subgradient method constrained by families of quasi-nonexpansive mappings and its application to online learning
Konstantinos Slavakis, Isao Yamada
Digital Technology Center
Research output
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Contribution to journal
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Article
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peer-review
18
Scopus citations
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Dive into the research topics of 'The adaptive projected subgradient method constrained by families of quasi-nonexpansive mappings and its application to online learning'. Together they form a unique fingerprint.
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Mathematics
Online Learning
100%
Subgradient Method
87%
Nonexpansive Mapping
65%
Knowledge
49%
Family
30%
Design
26%
Machine Learning
23%
Signal Processing
23%
Recovery
21%
Time-varying
20%
Closed set
20%
Convergence Properties
19%
Convex Sets
19%
Convex function
18%
Inverse Problem
17%
Continuous Function
16%
Hilbert space
15%
Non-negative
14%
Class
6%
Engineering & Materials Science
Hilbert spaces
28%
Signal systems
26%
Inverse problems
23%
Signal processing
17%
Machine learning
15%
Recovery
14%