Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
In an embedded system, it is common to have several memory areas with different properties, such as access time and size. An access to a specific memory area is usually restricted...
, are to address what we perceive as the most pressing shortcomings of current reflective middleware platforms. First, performance: in the worst case, this needs to be on a par wit...
Gordon S. Blair, Geoff Coulson, Michael Clarke, Ni...
Multiple dispatch – the selection of a function to be invoked based on the dynamic type of two or more arguments – is a solution to several classical problems in object-orient...
Peter Pirkelbauer, Yuriy Solodkyy, Bjarne Stroustr...