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Varieties of Justification in Machine Learning
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.
@article{6853, title = {Varieties of Justification in Machine Learning}, journal = {Minds and Machines}, 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.}, volume = {20}, number = {2}, pages = {291-301}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, month = jul, year = {2010}, slug = {6853}, author = {Corfield, D.}, month_numeric = {7} }