Abstract
A common problem encountered in structural pattern recognition is the difficulty of constructing classification models or rules from a set of examples, due to the complexity of the structures needed to represent the patterns. In this paper we present an extension of a method for structural learning applied to predictive toxicology evaluation.
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© 2005 Springer-Verlag Berlin Heidelberg
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Foggia, P., Petretta, M., Tufano, F., Vento, M. (2005). A Structural Learning Algorithm and Its Application to Predictive Toxicology Evaluation. In: De Gregorio, M., Di Maio, V., Frucci, M., Musio, C. (eds) Brain, Vision, and Artificial Intelligence. BVAI 2005. Lecture Notes in Computer Science, vol 3704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11565123_28
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DOI: https://doi.org/10.1007/11565123_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29282-1
Online ISBN: 978-3-540-32029-6
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