4 citations · 8 across the 8 of their papers we have counts for
8 papers
Metastable Financial Markets
Diego Marcondes, Adilson Simonis
Metastability is a phenomenon observed in stochastic systems which stay in a false-equilibrium within a region of its state space until the occurrence of a sequence of rare events…
The role of prior information and computational power in Machine Learning
Diego Marcondes, Adilson Simonis, Junior Barrera
Science consists on conceiving hypotheses, confronting them with empirical evidence, and keeping only hypotheses which have not yet been falsified. Under deductive reasoning they a…
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…
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…
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…
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…
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…
Properties of Doubly Stochastic Poisson Process with affine intensity
Alan De Genaro Dario, Adilson Simonis
This paper discusses properties of a Doubly Stochastic Poisson Process (DSPP) where the intensity process belongs to a class of affine diffusions. For any intensity process from th…