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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书目详细资料
Main Authors: Tomas, A, Amber Tomas
其他作者: Ripley, B
格式: Thesis
语言:English
出版: 2008
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