4 citations · 6 across the 3 of their papers we have counts for
5 papers
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…
Parameter estimation in dynamical systems via Statistical Learning: a reinterpretation of Approximate Bayesian Computation applied to COVID-19 spread
Diego Marcondes
We propose a robust parameter estimation method for dynamical systems based on Statistical Learning techniques which aims to estimate a set of parameters that well fit the dynamics…
Local Lift Dependence Scale
Diego Marcondes, Adilson Simonis
We propose a local and general dependence quantifier between two random variables and , which we call Local Lift Dependence Scale, that does not assume any form of dependenc…
Assessing randomness in case assignment: the case study of the Brazilian Supreme Court
Diego Marcondes, Cláudia Peixoto, Julio Michael Stern
Sortition, i.e., random appointment for public duty, has been employed by societies throughout the years, especially for duties related to the judicial system, as a firewall design…
Feature Selection based on the Local Lift Dependence Scale
Diego Marcondes, Adilson Simonis, Junior Barrera
This paper uses a classical approach to feature selection: minimization of a cost function applied on estimated joint distributions. However, the search space in which such minimiz…