Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems ; volume:5 ; number:2 ; day:1 ; month:4 ; year:2012 ; pages:254-275 ; date:4.2012
International journal of computational intelligence systems ; 5, Heft 2 (1.4.2012), 254-275, 4.2012
- Urheber
-
Stavrakoudis, Dimitris G.
Galidaki, Georgia N.
Gitas, Ioannis Z.
Theocharis, John B.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1080/18756891.2012.685290
- URN
-
urn:nbn:de:101:1-2024031113394204685235
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Stavrakoudis, Dimitris G.
- Galidaki, Georgia N.
- Gitas, Ioannis Z.
- Theocharis, John B.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers
An Approach to Reducing Input Parameter Volume for Fault Classifiers
OPTIMISATION OF FUZZY BASED SOFT CLASSIFIERS FOR REMOTE SENSING DATA
Fuzzy classifiers and their relation to cluster analysis and neural networks
Offline recognition of degraded numeral characters with MMTD-based fuzzy classifiers
Fuzzy classifiers and their relation to cluster analysis and neural networks
Object detection using ensemble of linear classifiers with fuzzy adaptive boosting
Reducing the complexity of large EPCs
Specific Classifiers.
Reducing the complexity of OMICS data analysis
Reducing the complexity of OMICS data analysis
Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference
Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers
An Approach to Reducing Input Parameter Volume for Fault Classifiers
OPTIMISATION OF FUZZY BASED SOFT CLASSIFIERS FOR REMOTE SENSING DATA
Fuzzy classifiers and their relation to cluster analysis and neural networks
Offline recognition of degraded numeral characters with MMTD-based fuzzy classifiers
Fuzzy classifiers and their relation to cluster analysis and neural networks
Object detection using ensemble of linear classifiers with fuzzy adaptive boosting
Reducing the complexity of large EPCs
Specific Classifiers.
Reducing the complexity of OMICS data analysis
Reducing the complexity of OMICS data analysis
Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference
Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers
An Approach to Reducing Input Parameter Volume for Fault Classifiers
OPTIMISATION OF FUZZY BASED SOFT CLASSIFIERS FOR REMOTE SENSING DATA
Fuzzy classifiers and their relation to cluster analysis and neural networks
Offline recognition of degraded numeral characters with MMTD-based fuzzy classifiers
Fuzzy classifiers and their relation to cluster analysis and neural networks
Object detection using ensemble of linear classifiers with fuzzy adaptive boosting
Reducing the complexity of large EPCs
Specific Classifiers.
Reducing the complexity of OMICS data analysis
Reducing the complexity of OMICS data analysis