A dynamic logistic model for combining classifier outputs

Many classification algorithms are designed on the assumption that the population of interest is stationary, i.e. it does not change over time. However, there are many real-world problems where this assumption is not appropriate. In this thesis, we develop a classifier for non-stationary populations...

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Bibliografische gegevens
Hoofdauteurs: Tomas, A, Amber Tomas
Andere auteurs: Ripley, B
Formaat: Thesis
Taal:English
Gepubliceerd in: 2008
Onderwerpen: