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...
| Main Authors: | , |
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| Format: | Thesis |
| Language: | English |
| Published: |
2008
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