This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
People often seek information by asking other people even when they have access to vast reservoirs of information such as the Internet and libraries. This is because people are gr...
Burstiness and temporal dependence in service processes are often found in multi-tier architectures and storage devices and must be captured accurately in capacity planning models...
— Link adaptation is one of the key technologies used in high speed wireless networks such as HSDPA and mobile WiMAX. The dynamic feature of mobile users’ channel capacities br...
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...