We introduce a new approach in black box group theory which deals with black box group problems in the category of black boxes and their morphisms. This enables us to enrich black box groups by actions of outer automorphisms such as Frobenius maps or graph automorphisms of simple groups of Lie type. As an application of this new technique, we present a number of new results, including a solutio...

For data-driven building energy forecasting modeling, the quality of training data strongly affects a model’s accuracy and cost-effectiveness. In order to obtain high-quality training data within a short time period, experiment design, active learning, or excitation is becoming increasingly important, especially for nonlinear systems such as building energy systems. Experiment design and system...

In Infrastructure as a Service (IaaS) Cloud scenarios, data center operators require specifications of Virtual Machine (VM) behavior for data center middleand long-term planning and optimization. The planning is usually supported by simulations. While users can leverage white-box application knowledge, data center operators have to rely on metrics at the level of resource demands provided by vi...

Questions of trust in machine learning models are becoming increasingly important, as these models are starting to be used widely for high-stakes decisions in medicine and criminal justice. Transparency of models is a key issue affecting trust. The topic of transparency in modeling is being heavily debated in the media, and there are conflicting legal trends on the use of black box models betwe...

We present the first traitor tracing scheme with efficient black-box traitor tracing in which the ratio of the ciphertext and plaintext lengths (the transmission rate) is asymptotically 1, which is optimal. Previous constructions in this setting either obtained constant (but not optimal) transmission rate [KY02b], or did not support black-box tracing [CPP05]. Our treatment improves the standard...

Uncertainty modeling applied at different stages of the virtual prototyping process enhances the quality of the of the design in terms of physical validity. The Fuzzy FEM is a widely accepted numerical simulation tool to model imprecise data in early design stages. The Interval FEM, which forms the basis of the Fuzzy FEM, is based on the interval arithmetic approach or on black-box approaches s...

In this paper we shortly discuss the K.U. Leuven time-series prediction competition, which has been held in the framework of the International Workshop on Advanced Black-Box Techniques for Nonlinear Modeling, K.U.Leuven Belgium July 8-1

Mechatronic systems are characterized by the synergic interaction between their components from different technological domains. These interactions enable the system to achieve more functionalities than the sum of the functionalities of its components considered independently. Traditional design approaches are no longer adequate and there is a need for new synergic and multidisciplinary design ...