Real-time embedded systems are time-critical systems that are hard to implement as compared to traditional commercial software, due to the large number of conflicting requirements...
Advanced applications in fields like electronic publishing and telecooperation face the problem of handling multimedia information. Conventional database systems do not offer adeq...
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Reduced models have long been used as a tool for the analysis of the complex activity taking place in neurons and their coupled networks. Recent advanced in experimental and theore...
- The design of embedded computing systems faces a serious productivity gap due to the increasing complexity of their hardware and software components. One solution to address this...