Introduction: Machine learning as philosophy of science

Minds and Machines 14 (4):433-440 (2004)
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Abstract

I consider three aspects in which machine learning and philosophy of science can illuminate each other: methodology, inductive simplicity and theoretical terms. I examine the relations between the two subjects and conclude by claiming these relations to be very close.

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10.1023/b:mind.0000045986.90956.7f

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Citations of this work

The Big Data razor.Ezequiel López-Rubio - 2020 - European Journal for Philosophy of Science 10 (2):1-20.

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References found in this work

Logical foundations of probability.Rudolf Carnap - 1950 - Chicago]: Chicago University of Chicago Press.
Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
The theory of probability.Hans Reichenbach - 1949 - Berkeley,: University of California Press.

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