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Current Pharmaceutical Design

Editor-in-Chief

ISSN (Print): 1381-6128
ISSN (Online): 1873-4286

An Introduction to Recursive Neural Networks and Kernel Methods for Cheminformatics

Author(s): Alessio Micheli, Alessandro Sperduti and Antonina Starita

Volume 13, Issue 14, 2007

Page: [1469 - 1495] Pages: 27

DOI: 10.2174/138161207780765981

Price: $65

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


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