Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and ma...
This paper describes our experiences of applying dynamic analysis solutions on an industrial legacy application written in C, with the help of Aspect Orientation (AO). We use a nu...
Andy Zaidman, Serge Demeyer, Bram Adams, Kris De S...
Side-channel attacks are nowadays a serious concern when implementing cryptographic algorithms. Powerful ways for gaining information about the secret key as well as various count...
Francesco Regazzoni, Thomas Eisenbarth, Luca Breve...