Springer Handbooks provide a concise compilation of approved key information on methods of research, general principles, and functional relationships in physical sciences and engineering. The world’s leading experts in the fields of physics and engi
This file contains:Deep Learning and Missing Data in Engineering Systems (2019, Springer International Publishing).pdf Deep Learning Classifiers with Memristive Networks_ Theory and Applications (2020, Springer International Publishing).pdf Deep Lea
Matrix factorization is a powerful data analysis tool. It has been used in multivariate time series analysis, leading to the decomposition of the series in a small set of latent factors. However, little is known on the statistical performances of mat
