During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Failure models characterise the expected component failures in fault-tolerant computing. In the context of distributed systems, a failure model usually consists of two parts: a fu...
Timo Warns, Felix C. Freiling, Wilhelm Hasselbring
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the ex...
Effective human-robot cooperation requires robotic devices that understand human goals and intentions. We frame the problem of intent recognition as one of tracking and predicting...
In many different managerial contexts, consumers "leave money on the table" by, for example, their failure to claim rebates, use available coupons, and so on. This proje...
Michael Braun, Peter S. Fader, Eric T. Bradlow, Ho...