Synonyms
Classifier combination; Ensemble learning; Multiple classifiers; Multiple expert systems
Definition
The rationale behind the growing interest in multiple classifier systems is the acknowledgment that the classical approach to design a pattern recognition system that focuses on finding the best individual classifier has some serious drawbacks. The most common type of multiple classifier system (MCS) includes an ensemble of classifiers and a function for parallel combination of classifier outputs. However, a great number of methods for creating and combining multiple classifiers have been proposed in the last 15 years. Although reported results showed the good performances achievable by combining multiple classifiers, so far a designer of pattern classification systems should regard the MCS approach as an additional tool to be used when building a single classifier with the required performance is very difficult or does not allow exploiting the complementary discriminatory...
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Roli, F. (2015). Multiple Classifier Systems. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_148
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DOI: https://doi.org/10.1007/978-1-4899-7488-4_148
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