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A Comparison of Probabilistic, Neural, and Fuzzy Modeling in Ecotoxicity (2002)  (Make Corrections)  
Giuseppina Gini, Marco Giumelli, Emilio Benfenati, Nadege Piclin, et al.



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Abstract: The common practice in inducing toxicity models from data is regression analysis. The predictive power of such models is usually poor with very different molecules and toxicity end-points. (Update)

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BibTeX entry:   (Update)

@misc{ gini-comparison,
  author = "Giuseppina Gini and Marco Giumelli and Emilio Benfenati and Nadege Piclin
    and et al.",
  title = "A Comparison of Probabilistic, Neural, and Fuzzy Modeling in Ecotoxicity",
  url = "citeseer.ist.psu.edu/gini02comparison.html" }
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4   Fuzzy sets and their applications to classification and clus.. (context) - Zadeh - 1977
4   Predictive Carcinogenicity: a Model for Aromatic Compounds - Gini, Lorenzini et al. - 1999
1   IV Girona Seninar on Molecular Similarity (context) - Benfenati, Grasso et al. - 1999
1   The expanding role of quantitative structure-activity relati.. (context) - Hansch, Hoekman et al. - 1995
1   Adaptive Fuzzy Partition in Data Base Mining (context) - Pintore, Ros et al. - 2001
1   Molecular Descriptor Selection Combining Genetic Algorithms .. (context) - Ros, Pintore et al. - 2001

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