It is quite difficult to adapt to the changing production scheduling problem for an algorithm of a certain question. According to this, a strategy of dynamic integrated iterative ...
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
Majid Razmara, George Foster, Baskaran Sankaran, A...
Simulation models provide a powerful tool for the analysis of manufacturing systems, but their utility beyond the design stage of the system life cycle is hampered by the high cos...
This paper proposes a general framework to develop SCORM compliant courses that provide adaptation according to user learning style. The SCORM standard as well as some of the most...
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...