Web: http://arxiv.org/abs/2006.09500

Jan. 28, 2022, 2:11 a.m. | Marina Sapir

cs.LG updates on arXiv.org arxiv.org

The main question is: why and how can we ever predict based on a finite
sample? The question is not answered by statistical learning theory. Here, I
suggest that prediction requires belief in "predictability" of the underlying
dependence, and learning involves search for a hypothesis where these beliefs
are violated the least given the observations. The measure of these violations
("errors") for given data, hypothesis and particular type of predictability
beliefs is formalized as concept of incongruity in modal Logic …

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