Sterkenburg, Tom F. (2023) Statistical Learning Theory and Occam's Razor: The Argument from Empirical Risk Minimization. [Preprint]

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Item Type:	Preprint
Creators:	Creators Email ORCID Sterkenburg, Tom F. tom.sterkenburg@lmu.de 0000-0002-4860-727X
Keywords:	machine learning, Occam's razor, induction, statistical learning theory
Subjects:	General Issues > Confirmation/Induction General Issues > Formal Learning Theory Specific Sciences > Artificial Intelligence > Machine Learning Specific Sciences > Probability/Statistics
Depositing User:	Mr Tom Sterkenburg
Date Deposited:	30 Jun 2023 12:55
Last Modified:	30 Jun 2023 12:55
Item ID:	22259
Subjects:	General Issues > Confirmation/Induction General Issues > Formal Learning Theory Specific Sciences > Artificial Intelligence > Machine Learning Specific Sciences > Probability/Statistics
Date:	2023
URI:	https://philsci-archive.pitt.edu/id/eprint/22259

Available Versions of this Item

• Statistical Learning Theory and Occam's Razor: The Argument from Empirical Risk Minimization. (deposited 30 Jun 2023 12:55) [Currently Displayed]
  • Statistical Learning Theory and Occam's Razor: The Core Argument. (deposited 30 Nov 2024 13:02)

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