Meta-learning
| dc.contributor.author | Duch, Włodzisław | |
| dc.date.accessioned | 2014-02-19T10:56:46Z | |
| dc.date.available | 2014-02-19T10:56:46Z | |
| dc.date.issued | 2011 | |
| dc.description | In: Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K-H Cho, H. Yokota (Eds.), Springer 2011 | pl |
| dc.description.abstract | Meta-learning methods are aimed at automatic discovery of interesting models of data. They belong to a branch of Machine Learning that tries to replace human experts involved in the Data Mining process of creating various computational models learning from data. | pl |
| dc.identifier.citation | Encyclopedia of Systems Biology | pl |
| dc.identifier.uri | http://repozytorium.umk.pl/handle/item/1717 | |
| dc.language.iso | eng | pl |
| dc.publisher | Springer | pl |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | meta-learning | pl |
| dc.title | Meta-learning | pl |
| dc.type | info:eu-repo/semantics/preprint | pl |