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09/01/2023
Discrete Morphological Neural Networks
A classical approach to designing binary image operators is Mathematical...
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03/15/2023
Distribution-free Deviation Bounds of Learning via Model Selection with Cross-validation Risk Estimation
Cross-validation techniques for risk estimation and model selection are ...
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10/31/2022
The role of prior information and computational power in Machine Learning
Science consists on conceiving hypotheses, confronting them with empiric...
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09/08/2021
Learning the hypotheses space from data through a U-curve algorithm: a statistically consistent complexity regularizer for Model Selection
This paper proposes a data-driven systematic, consistent and non-exhaust...
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07/28/2020
Robust parameter estimation in dynamical systems via Statistical Learning with an application to epidemiological models
We propose a robust parameter estimation method for dynamical systems ba...
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01/30/2020
Learning the Hypotheses Space from data Part II: Convergence and Feasibility
In part I we proposed a structure for a general Hypotheses Space H, the ...
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01/26/2020
Learning the Hypotheses Space from data Part I: Learning Space and U-curve Property
The agnostic PAC learning model consists of: a Hypothesis Space H, a pro...
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05/21/2018
Assessing randomness in case assignment: the case study of the Brazilian Supreme Court
Sortition, i.e., random appointment for public duty, has been employed b...
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12/06/2017
Fitting a Hurdle Generalized Lambda Distribution to healthcare expenses
In order to fit a model to healthcare expenses data, it is necessary to ...
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11/11/2017