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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Foggia, P., Petretta, M., Tufano, F., & Vento, M. (2005). A structural learning algorithm and its application to predictive toxicology evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3704 LNCS, pp. 288–297). https://doi.org/10.1007/11565123_28
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