Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Instruction set simulators are common tools used for the development of new architectures and embedded software among countless other functions. This paper presents a framework th...
Process virtualization provides a virtual execution environment within which an unmodified application can be monitored and controlled while it executes. The provided layer of co...
Presently, no methods exist that support the creation process of an industry taxonomy within a specific domain. Without such a method, taxonomies remain erroneous, making the deve...
Ivo Hunink, Rene van Erk, Slinger Jansen, Sjaak Br...