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Techniki informacyjne teoria i zastosowania * Wybrane problemy * Boosting approximate reducts
Subtitle:Książka = Book ; KS/3/2015/T5P07
Creator: Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:[3], 129-148 stron ; 21 cm ; Bibliografia s. 147-148
Type of object: Abstract: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.
Relation: Resource type: Detailed Resource Type: Source: Language: Language of abstract: Rights:Licencja Creative Commons Uznanie autorstwa 4.0
Terms of use: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: ; -
Digitizing institution:Instytut Badań Systemowych Polskiej Akademii Nauk
Original in:Biblioteka Instytutu Badań Systemowych PAN
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