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Volumn 48, Issue 7, 2002, Pages 1977-1991
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Improving the sample complexity using global data
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Author keywords
Fat shattering dimension; Glivenko Cantelli classes; Kernel machines; Learning sample complexity; Uniform convexity
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Indexed keywords
APPROXIMATION THEORY;
CONVERGENCE OF NUMERICAL METHODS;
ESTIMATION;
POLYNOMIALS;
PROBABILITY;
REGRESSION ANALYSIS;
SET THEORY;
LEARNING PROBLEMS;
INFORMATION THEORY;
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EID: 0036648803
PISSN: 00189448
EISSN: None
Source Type: Journal
DOI: 10.1109/TIT.2002.1013137 Document Type: Article |
Times cited : (104)
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References (21)
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