Statistical learning theory as a framework for the philosophy of induction

Abstract

Statistical Learning Theory (e.g., Hastie et al., 2001; Vapnik, 1998, 2000, 2006) is the basic theory behind contemporary machine learning and data-mining. We suggest that the theory provides an excellent framework for philosophical thinking about inductive inference.

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Gilbert Harman
Princeton University

References found in this work

The Logic of Scientific Discovery.Karl Popper - 1959 - Studia Logica 9:262-265.
The Foundations of Statistics.Leonard J. Savage - 1956 - Philosophy of Science 23 (2):166-166.
The theory of probability.Hans Reichenbach - 1949 - Berkeley,: University of California Press.
Epistemology and the Psychology of Human Judgment.Michael A. Bishop & J. D. Trout - 2004 - New York: OUP USA. Edited by J. D. Trout.
Subjective Probability: The Real Thing.Richard C. Jeffrey - 2002 - Cambridge and New York: Cambridge University Press.

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