The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Memory accesses account for a large percentage of total power in microprocessor-based embedded systems. The increasing use of microprocessor cores and synthesis, rather than prefa...
A request to a service registry must be answered with a service that fits in several regards, including semantic compatibility, non-functional compatibility, and interface compati...
Minimum-distance controlled tabular adjustment methods (CTA), and its restricted variants (RCTA), is a recent perturbative approach for tabular data protection. Given a table to be...
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...