We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
The aim of the paper is twofold: i) understanding how to provide additional information that is reflective of current organizational context in knowledge production and use; ii) p...
—Traditional Chinese medicine (TCM) has a rich knowledge about human health and disease by its special way evolved along a very long history. As modern medicine is achieving much...
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
This paper proposes that experience knowledge would be beneficial for iterative software development. In this paper, experience knowledgebased artifacts have been linked to Extrem...