In this paper the problem of automatic grouping of semiconductor devices by homogeneous production batches is investigated. Algorithms for training logistic regression and an artificial neural network ...

Regularization path algorithms have been proposed to deal with model selection problem in several machine learning approaches. These algorithms allow computation of the entire path of solutions for ...

Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear ...