Subtitle:

Książka = Book ; KS/3/2015/T5P07

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

[3], 129-148 pages ; 21 cm ; Bibliography p. 147-148

Type of object:

Book/Chapter

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:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:198695

Source:

KS-2015-03-T5P07

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open