Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
We argue that certain theoretical commitments that underpin much existing Interorganisational Information Systems (IOIS) research at small scales become untenable when IOIS are st...
The demand for quickly delivering new applications is increasingly becoming a business imperative today. Application development is often done in an ad hoc manner, without standar...
Vikas Agarwal, Koustuv Dasgupta, Neeran M. Karnik,...
— Accurate estimation of worst-case crosstalk effects is critical for a realistic estimation of the worst-case behavior of deep sub-micron circuits. Crosstalk analysis models usu...
Murthy Palla, Klaus Koch, Jens Bargfrede, Manfred ...