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- W2120721717 abstract "This paper describes the problem of modelling toxicity of environmental pollutants using molecular descriptors from a systems theoretical viewpoint. It is shown that current toxicity modelling problems systematically incorporate very high levels of noise a priori. By means of a set of individual and combined models self-organised by KnowledgeMiner from a high-dimensional molecular descriptor data set calculated within the DEMETRA project we suggest a way how results interpretation and final decision making can effectively take into account the huge uncertainty of toxicity models." @default.
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- W2120721717 date "2004-01-01" @default.
- W2120721717 modified "2023-09-27" @default.
- W2120721717 title "Modelling and Prediction of Toxicity of Environmental Pollutants" @default.
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- W2120721717 doi "https://doi.org/10.1007/978-3-540-30478-4_19" @default.
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