4 citations · 8 across the 8 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2021★ 1 cited
Learning the hypotheses space from data through a U-curve algorithm
Diego Marcondes, Adilson Simonis, Junior Barrera
This paper proposes a data-driven systematic, consistent and non-exhaustive approach to Model Selection, that is an extension of the classical agnostic PAC learning model. In this…
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…