The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
— Accurate generation of circuit specifications from test signatures is a difficult problem, since analytical expressions cannot precisely describe the nonlinear relationships ...
Byoungho Kim, Hongjoong Shin, Ji Hwan (Paul) Chun,...
We examine the problem of finding the optimal weight of the fidelity term in variational denoising. Our aim is to maximize the signal to noise ratio (SNR) of the restored image. ...