Robotics is a challenging domain that exhibits a clear need for self-adaptive capabilities, as self-adaptation offers the potential for robots to account for their unstable and unp...
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
Alessandro Lazaric, Mohammad Ghavamzadeh, Ré...
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
This paper proposes a method for automatically inserting check statements for access control into a given recursive program according to a given security specification. A history-b...
This paper presents a dynamic approach to document page segmentation based on inter-component relationships and their local features. State-of-the art page segmentation algorithms...