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- W2118959894 abstract "Most of the existing methods for qualitative trend analysis are based on discriminative models. A disadvantage of such models is that many heuristic rules or local search methods are needed. Recently, an effort has been made to develop a globally optimal method for qualitative trend analysis. This method is based on a generative (rather than discriminative) model and has shown to lead to excellent performance. However, this method comes at an extreme computational demand which renders the methods unlikely for on-line application. In this work, an alternative method, while still generative in nature, is proposed which is shown to deliver the same performance while reducing the computational demand considerably." @default.
- W2118959894 created "2016-06-24" @default.
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- W2118959894 date "2013-07-01" @default.
- W2118959894 modified "2023-10-02" @default.
- W2118959894 title "A generative approach to qualitative trend analysis for batch process fault diagnosis" @default.
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- W2118959894 doi "https://doi.org/10.23919/ecc.2013.6669494" @default.
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