Francisco Louzada
3 papers in the PaperMetrix corpus
Papers by this author
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Viterbi Classifier Chains for Multi-Dimensional Learning
2015 · viXra
Multi-dimensional classification (also known variously as multi-target, multi-objective, and multi-output classification) is the supervised learning problem where an instance is associated to qualitative discrete variables (a.k.a. labels), rather than with a single class, as in …
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Modeling Compositional Regression With Uncorrelated and Correlated Errors: A Bayesian Approach
2021 · Journal of Data Science
Compositional data consist of known compositions vectors whose components are positive and defined in the interval (0,1) representing proportions or fractions of a “whole”. The sum of these components must be equal to one. Compositional …
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CLASSIFICATION BINARY MODELS FOR BIOMEDICAL DATA: SIMPLE PROBABILISTIC NETWORKS AND LOGISTIC REGRESSION
2018 · Brazilian Journal of Biometrics
In the biomedical area a critical factor is whether a classication model is accurate enough in order to provide correct classication whether or not a patient has a certain disease. Several techniques may be used …