— The need for efficient counter architecture has arisen for the following two reasons. Firstly, a number of data streaming algorithms and network management applications requir...
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Abstract. WSML presents a framework encompassing different language variants, rooted in Description Logics and (F-)Logic Programming. So far, the precise relationships between thes...
Robustness links confidentiality and integrity properties of a computing system and has been identified as a useful property for characterizing and enforcing security. Previous ...