Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Java-based middleware, and application servers in particular, are rapidly gaining importance as a new class of workload for commercial multiprocessor servers. SPEC has recognized ...
Martin Karlsson, Kevin E. Moore, Erik Hagersten, D...
Communication is becoming one of the central elements in software development. As a potential typed foundation for structured communication-centred programming, session types have...
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where n...