Advanced search
Advanced search
Advanced search
Advanced search
Advanced search
Książka = Book ; KS/3/2015/T5P07
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
[3], 129-148 stron ; 21 cm ; Bibliografia s. 147-148
We consider classifiers ensembles constructed using boosting methodology. Each weak classifier is based on rough set inspired approach to deriving attribute subsets from data organized in a form of a decision system. We focus on approximate decision reducts calculated over universe of weighted objects. We show how methods derived in our previous research integrate smoothly with boosting approach. Two different approaches for approximate reduct calculation are analyzed. We discuss how our framework can be utilized for deriving meaningful attribute subset ensembles. Finally we test our methods on the benchmark data.
Licencja Creative Commons Uznanie autorstwa 4.0
Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -
Instytut Badań Systemowych Polskiej Akademii Nauk
Biblioteka Instytutu Badań Systemowych PAN
Oct 15, 2021
Jul 19, 2021
35
https://rcin.org.pl./publication/235035