'Obs error' diaporamas de présentation

Probably Approximately Correct Learning (PAC)

Probably Approximately Correct Learning (PAC). Leslie G. Valiant. A Theory of the Learnable. Comm. ACM (1984) 1134-1142. Recall: Bayesian learning. Create a model based on some parameters Assume some prior distribution on those parameters Learning problem

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Probably Approximately Correct Model (PAC)

Probably Approximately Correct Model (PAC). Example (PAC). Concept: Average body-size person Inputs: for each person: height weight Sample: labeled examples of persons label + : average body-size label - : not average body-size Two dimensional inputs. Example (PAC).

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V Gorin and M Tsyrulnikov Can model error be perceived from routine observations?

V Gorin and M Tsyrulnikov Can model error be perceived from routine observations?. Motivation : all existing approaches in model-error modeling are largely ad-hoc . Any objective knowledge on real model errors is very welcome. Model error: definition. The forecast equation:.

239 views • 15 slides