Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Abstract. Feature selection researchers often encounter a peaking phenomenon: a feature subset can be found that is smaller but still enables building a more accurate classifier th...
Build upon the OFDM/OQAM scheme this paper addresses the design of linear transmit and receive filters. Aiming at enhancing the robustness against multipath fading, two novel tec...
This paper discusses an automated method to build scan chains at the register-transfer level (RTL) for powerconstrained at-speed testing. By analyzing a circuit at the RTL, where ...
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...