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stat.ML2020★ 1 cited
Learning the Hypotheses Space from data Part II: Convergence and Feasibility
Diego Marcondes, Adilson Simonis, Junior Barrera
In part \textit{I} we proposed a structure for a general Hypotheses Space , the Learning Space , which can be employed to avoid \textit{overfi…
stat.ML2020
Learning the Hypotheses Space from data: Learning Space and U-curve Property
Diego Marcondes, Adilson Simonis, Junior Barrera
This paper presents an extension of the classical agnostic PAC learning model in which learning problems are modelled not only by a Hypothesis Space , but also by a Le…