Abstract. This paper presents a prototype implementation of an intelligent assistance architecture for data-driven simulation specialising in qualitative data in the social science...
Catriona Kennedy, Georgios K. Theodoropoulos, Volk...
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
The resource constraint project scheduling problem (RCPSP) is an NP-hard benchmark problem in scheduling which takes into account the limitation of resources’ availabilities in ...
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
Tracking of the lung tumor movement in fluoroscopic video sequences is clinically significant and challenging problem due to the blurred appearance, sternum occlusion, and compl...
Baiyang Liu, Lin Yang, Casimir A. Kulikowski, Leig...