: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Business processes are often statically implemented and may not be established ad-hoc. For the realization of dynamic process configurations that demand for changes in these imple...
A major difficulty of heterogeneous process migration is how to collect advanced dynamic data-structures, transform them into machine independent form, and restor them appropriate...
We study the relation between the acquisition and analysis of data and quantum theory using a probabilistic and deterministic model for photon polarizers. We introduce criteria fo...
H. De Raedt, Koen De Raedt, K. Michielsen, S. Miya...