Generalized Information

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Abstract

Generalized Information (GI) is a measurement of the degree to which a program can be said to generalize a dataset. It is calculated by creating a program to model the data set, measuring the Active Information in the model, and subtracting out the size of the model. Active Information allows GI to be usable with both exact and inexact models.

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Machine Learning and Algorithms Computability, Logic, AI Algorithms

Publication Details

Published in: Communications of the Blyth Institute

Volume 1, Issue 2, pp. 13-22

DOI: 10.33014/issn.2640-5652.1.2.bartlett.1

Field-Weighted Citation Impact: 0.56

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Generalized Information

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Abstract

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Publication Details