Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Higher educational institutions are just like companies forced to adapt to the ever faster changing environment. There are several obstacles in the way of introducing e-learning i...
Jaka Linic, Jurij Jaklic, Mojca Indihar Stemberger
This paper presents a concept for the integration of quantitative and qualitative information sources with their accompanying management support functionalities from navigation and...
The paper extends some of the most recently obtained results on the computational universality of speci c variants of H systems (e.g. with regular sets of rules) and proves that we...