Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel function...
the extensibility and evolution of network services and protocols had become a major research issue in recent years. The 'programmable' and 'active' network par...