Both teaching and learning multithreaded ing are complex tasks, due to the abstraction of the concepts, the non-determinism of the scheduler, the impossibility of using classical s...
Giovanni Malnati, Caterina Maria Cuva, Claudia Bar...
- The future of the Semantic Web envisions an interconnected network of data and systems where software agents can communicate seamlessly to perform complicated tasks with limited ...
Danny Chen, John Lastusky, James Starz, Stephen Ho...
A key assumption of all problem-solving approaches based on utility theory, including heuristic search, is that we can assign a utility or cost to each state. This in turn require...
In order to extractrigidexpressions with a high frequency of use, new algorithm that can efficientlyextract both uninterruptedand interruptedcollocationsfrom very large corpora ha...
New heuristics and strategies have enabled major advancements in SAT solving in recent years. However, experimentation has shown that there is no winning solution that works in al...