Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Spectrum regulation will undergo elementary changes in the near future allowing a less restricted and more flexible access to radio spectrum. Intelligent radios, socalled cognitive...
Lars Berlemann, Stefan Mangold, Guido R. Hiertz, B...
: The memory management of distributed objects, when done manually, is an error-prone task. It leads to memory leaks and dangling references, causing applications to fail. Avoiding...
In this paper we discuss cultural issues encountered while offering an Algorithms course from a US university at a Chinese university using Tutored Video Instruction (TVI). TVI is...
Model transformations are frequently applied in business process modeling to bridge between languages on a different abstraction and formality. In this paper, we define a transfor...