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Scale-sensitive dimensions, uniform convergence, and learnability
Noga Alon
, Shai Ben-David
, Nicolo Cesa-Bianchi
, David Haussler
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
53
Scopus citations
Overview
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Dive into the research topics of 'Scale-sensitive dimensions, uniform convergence, and learnability'. Together they form a unique fingerprint.
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Mathematics
Convergence Property
100%
Laws of Large Number
100%
Open Problem
100%
Random Variable
100%
Real Valued Function
100%
Uniform Convergence
100%
Vapnik-Chervonenkis Dimension
100%
Keyphrases
Effective Complexity
50%
Glivenko-Cantelli Class
100%
PAC Learnability
50%
Probabilistic Concept
50%
Statistical Regression
50%
Uniform Law of Large numbers
50%
Computer Science
Laws of Large Number
100%
Real-Valued Function
100%