 Poster presentationEstimating the applicability domain of kernel based QSPR models using classical descriptor vectorsNH Fechner, G Hinselmann, C Schmiedl and Andreas Zell University of Tuebingen, Sand 1, 72076 Tuebingen, Germany  corresponding author email
from 3rd German Conference on Chemoinformatics Goslar, Germany. 11-13 November 2007 Chemistry Central Journal 2008,
2(Suppl 1):P2doi:10.1186/1752-153X-2-S1-P2 First paragraph (this article has no abstract)
The propagation of machine learning based property prediction methods (e.g. QSAR, QSPR,.…) has lead to the question of the reliability of the prediction. This leads to the development of methods enabling the estimation of the reliability of a model based prediction. | 
on Google Scholar
