Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Process variation has become a critical problem in modern VLSI fabrication. In the presence of process variation, buffer insertion problem under performance constraints becomes mo...
CT The traditional approach to worst-case static-timing analysis is becoming unacceptably conservative due to an ever-increasing number of circuit and process effects. We propose a...
: Current best-practices for defining Domain-Specific Modeling Languages call for metamodeling techniques, which do not take into account the future use of such languages in multiv...
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...