Abstract

The aim of this paper is to introduce the reader to new developments in Neural Networks and Kernel Machines concerning the treatment of structured domains. Specifically, we discuss the research on these relatively new models to introduce a novel and more general approach to QSPR/QSAR analysis. The focus is on the computational side and not on the experimental one.

Keywords: qsar/qspr, recursive neural networks, kernel for structures, kernel methods, learning in structured domains, machine learning