The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
Thomas Villmann, Frank-Michael Schleif, Barbara Ha...
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubram...
The business of software development is solving problems. Following Polya, we can increase our ability to solve problems by focusing directly on problems themselves, on their part...
In virtual machine environments each application is often run in its own virtual machine (VM), isolating it from other applications running on the same physical machine. Contentio...
Justin Cappos, Scott M. Baker, Jeremy Plichta, Duy...
Long transactions cause pragmatic problems for workflow systems – as the transaction is moving, so is the surrounding world. We look at three scenarios in which external events ...