A Preliminary Experimental Comparison of Recursive Neural Networks and a Tree Kernel Method for QSAR/QSPR Regression Tasks

Alessio Micheli, Filippo Portera, Alessandro Sperduti · 2004

We consider two di#erent methods for QSAR/QSPR regression tasks: Recursive Neural Networks (RecNN) and a Support Vector Regression (SVR) machine using a Tree Kernel. Experimental results on two specific regression tasks involving alkanes and benzodiazepines are obtained for the two approaches.

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