Multiple classification systems in the context of feature extraction and selection

Raudys, Šarūnas

Use this url to cite publication: https://hdl.handle.net/20.500.14911/132811

Multiple classification systems in the context of feature extraction and selection

Details

Publication Type (CRIS)

Straipsnis Web of Science duomenų bazėje / Article in Web of Science database (S1a)

Publication Type (eLABa)

Straipsnis Web of Science DB / Web of Science DB article (S1)

Author(s)

Author	Affiliation
Raudys, Šarūnas	Informacinių sistemų katedra / Department of Information Systems (1046)

Title

Multiple classification systems in the context of feature extraction and selection

[en]

Šarūnas Raudys

Is part of

Multiple Classifer Systems : Third International Workshop : Proceedings MCS 2002, Cagliari, Italy, June 24-26, 2002. Lecture Notes in Computer Science

Published In

Year	Volume	Start Page	End Page
2002	2364	27	41

Publisher

Berlin : Springer

Publisher (trusted)

Springer

Extent

p. 27-41

URI

URI
https://hdl.handle.net/20.500.14911/132811

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

Abstract (en)

Parallels between Feature Extraction / Selection and Multiple Classification Systems methodologies are considered. Both approaches allow the designer to introduce prior information about the pattern recognition task to be solved. However, both are heavily affected by computational difficulties and by the problem of small sample size/classifier complexity. Neither approach is capable of selecting a unique data analysis algorithm.