Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King
Autonomic computing – self-configuring, self-healing, self-optimizing applications, systems and networks – is widely believed to be a promising solution to everincreasing syst...
Gail E. Kaiser, Janak J. Parekh, Philip Gross, Giu...
— We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the to...
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
Model-based testing relies on the use of behavior models to automatically generate sequences of inputs and expected outputs. These sequences can be used as test cases to the end o...
Gabor Hahn, Jan Philipps, Alexander Pretschner, Th...