SVR active learning for product quality control
SVR active learning for product quality control is a scholarly work by Edoardo Pasolli, published in 2012. The main subjects of the publication include statistical process control, product, quality, computer science, artificial intelligence, quality control, control in organization management, fault detection and isolation, chemometrics, and active learning. The experimental results on two real data sets show the effectiveness of the proposed solutions. © 2012 IEEE.