Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Generalized stochastic orderings applied to the study of performance of machine learning algorithms for low quality data

Authors
Inés Couso, Luciano Sánchez
Corresponding Author
Inés Couso
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.218How to use a DOI?
Keywords
Regression, classification, loss function, generalized stochastic ordering, set-valued data, low-quality data.
Abstract

Usually, the expected loss minimization criterion is used in order to look for the optimal model that expresses a certain response variable as a function of a collection of attributes. We generalize this criterion, in order to be able to deal also with those situations where a numerical loss function makes no sense or is not provided by the expert. In a first stage, we consider the new framework in standard situations, where both the collection of attributes and the response variables are observed with precision. In a second one, we assume that we are just provided with imprecise information about them (in terms of set-valued data sets). We cast some comparison criteria from the recent literature on learning methods from low-quality data as particular cases of our general approach.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.218How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Inés Couso
AU  - Luciano Sánchez
PY  - 2015/06
DA  - 2015/06
TI  - Generalized stochastic orderings applied to the study of performance of machine learning algorithms for low quality data
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1534
EP  - 1541
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.218
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.218
ID  - Couso2015/06
ER  -