A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks
نویسندگان
چکیده
We consider two different 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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تاریخ انتشار 2004