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Learning and NonLinear Models
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Learning and NonLinear Models (ISSN 1676-2789) is the official journal of the Brazilian Society for Artificial Intelligence (SBIA), formerly the Brazilian Society for Computational Intelligence (SBIC), and has been published online since 2003. The journal is committed to the use of persistent identifiers for both papers and researchers. Therefore, all papers are permanently indexed with a DOI, and researchers are requested to include their ORCID identifier during paper submission. All papers are open-access, and there are no publication fees. The journal publishes papers reporting theoretical and practical advances in several areas of Artificial Intelligence, focusing on nonlinear learning models and their applications. |
Open Access Statement: all content of the LNLM journal is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author.
Copyright statement: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
INDEXADORES, BASE DE DADOS E REPOSITÓRIOS
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