Business applications are more and more often developed on the basis of Web services. The aim is to provide platform independence and loose coupling between business applications ...
We introduce a model of DNA sequence evolution which can account for biases in mutation rates that depend on the identity of the neighboring bases. An analytic solution for this c...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Abstract. In Software Engineering many text-based languages and supporting tools are used, forming the grammarware technical space. Currently model driven engineering is the new em...
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...