A dynamic model of classifier competence based on the local fuzzy confusion matrix and the random reference classifier

DOI10.1515/amcs-2016-0012zbMath1336.62196OpenAlexW2306802638MaRDI QIDQ285414

Pawel Trajdos, Marek W. Kurzyński

Publication date: 19 May 2016

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/amcs-2016-0012

zbMATH Keywords

confusion matrixcross-competence measurefeedback informationmulticlassifier

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

The linear fuzzy space: theory and applications

Uses Software

• R
• Silhouettes
• UCI-ml
• ccprmod

Cites Work

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• Knowledge Discovery from Data Streams
• Multiple Comparisons Among Means
• Combining Pattern Classifiers
• Nearest neighbor pattern classification
• Data Mining and Knowledge Discovery Handbook
• Dynamic classifier selection based on multiple classifier behaviour

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