Optimizing lattice-based associative memory networks by evolutionary algorithms

Autor: Renners, Ingo, Grauel, Adolf

Publikováno v: In Information Sciences 2001 136(1):69-84

An evolutionary approach to constraint-regularized learning

Autor: Hüllermeier, Eyke, Renners, Ingo, Grauel, Adolf

Publikováno v: Mathware & soft computing; 2004: Vol.: 11 Núm.: 2-3
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

The success of machine learning methods for inducing models from data crucially depends on the proper incorporation of background knowledge about the model to be learned. The idea of constraint-regularized learning is to em- ploy fuzzy set-based mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::720ee09939c5f92dcb3ea398b002d248
http://www.raco.cat/index.php/Mathware/article/view/84907

Computational Intelligence. Theory and Applications : International Conference, 7th Fuzzy Days Dortmund, Germany, October 1-3, 2001 Proceedings

Autor: Bernd Reusch

Ten years of,,Fuzzy Days“ in Dortmund! What started as a relatively small workshop in 1991 has now become one of the best known smaller conferences on Computational Intelligence in the world. It fact, it was (to my best knowledge) the?rst conferenc