Predictions as statements and decisions

dc.creatorVovk, Vladimir
dc.date2006-06-22
dc.date.accessioned2026-07-07T07:13:06Z
dc.date.available2026-07-07T07:13:06Z
dc.descriptionPrediction is a complex notion, and different predictors (such as people, computer programs, and probabilistic theories) can pursue very different goals. In this paper I will review some popular kinds of prediction and argue that the theory of competitive on-line learning can benefit from the kinds of prediction that are now foreign to it.
dc.description48 pages
dc.identifierhttps://arxiv.org/abs/cs/0606093
dc.identifierhttp://arxiv.org/abs/cs/0606093
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/112323
dc.subjectMachine Learning
dc.titlePredictions as statements and decisions
dc.typetext

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