Varieties of Justification in Machine Learning

Minds and Machines 20 (2):291-301 (2010)
Abstract
Forms of justification for inductive machine learning techniques are discussed and classified into four types. This is done with a view to introduce some of these techniques and their justificatory guarantees to the attention of philosophers, and to initiate a discussion as to whether they must be treated separately or rather can be viewed consistently from within a single framework.
Keywords Bayesian   Guarantee   Induction   Kernel methods
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