Modeling adaptivity is a challenging task for two reasons: 1) adaptation is usually strongly interwoven with the general functionality of the web application, separation of concer...
In this paper, we introduce a new approach to adaptive coding which utilizes Stochastic Learning-based Weak Estimation (SLWE) techniques to adaptively update the probabilities of t...
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
In this paper we consider provenance modelling in Adaptive Hypermedia Systems (AHS). We revisit adaptation and data provenance questions and bring up new and complementary aspects...
Since the appearance changes of the target jeopardize visual measurements and often lead to tracking failure in practice, trackers need to be adaptive to non-stationary appearance...