Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
: Communication services are currently confronted with large changes due to the price erosion of services and the entry of new service providers. The gap has been filled with diffe...
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
: Performing dependability evaluation along with other analyses at architectural level allows both making architectural tradeoffs and predicting the effects of architectural decisi...
Ana-Elena Rugina, Peter H. Feiler, Karama Kanoun, ...
A methodology for constructing circuit-level mismatch models and performing yield optimization is presented for CMOS analog circuits. The methodology combines statistical techniqu...