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- W2101426749 abstract "Bayes decision theory is based on the assumption that the decision problem is posed in probabilistic terms, and that all of the relevant probability values are known. The aim of this paper is to show how blind sliding window AR modeling is corrupted by an abrupt model change and to derive a statistical study of these parameters." @default.
- W2101426749 created "2016-06-24" @default.
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- W2101426749 date "2002-12-17" @default.
- W2101426749 modified "2023-09-26" @default.
- W2101426749 title "Continuously evolving classification of signals corrupted by an abrupt change" @default.
- W2101426749 cites W1597732836 @default.
- W2101426749 doi "https://doi.org/10.1109/wits.1994.513924" @default.
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