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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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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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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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11/11/2017
Feature Selection based on the Local Lift Dependence Scale
This paper uses a classical approach to feature selection: minimization ...
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07/22/2014
The U-curve optimization problem: improvements on the original algorithm and time complexity analysis
The U-curve optimization problem is characterized by a decomposable in U...
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07/25/2011
An iterative feature selection method for GRNs inference by exploring topological properties
An important problem in bioinformatics is the inference of gene regulato...
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10/30/2008