Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach-Reference-Cited by-同舟云学术

Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach

Published:2016-09 Issue: Volume:358-359 Page:129-150
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Couso Inés^ORCID,Sánchez Luciano^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference38 articles.

1. Multicriteria decision making (mcdm): a framework for research and applications;Bonissone;IEEE Comput. Intell. Mag.,2009

2. Preference relations and families of probabilities: different sides of the same coin;Couso,2014

3. An imprecise probability approach to joint extensions of stochastic and interval orderings;Couso,2012

4. Statistical reasoning with set-valued information: Ontic vs. epistemic views;Couso;Int. J. Approx. Reason.,2014

5. Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables;Couso,2014

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