Machine Learning

Direct Nonlinear Acceleration

Optimization acceleration techniques such as momentum play a key role in state-of-the-art machine learning algorithms. Recently, generic vector sequence extrapolation techniques, such as regularized nonlinear acceleration (RNA) of Scieur et al., were …

Common Knowledge Based Transfer Learning for Traffic Classification

Deep neural networks have been used for traffic classification, and promising results are obtained. However, most previous work confined to one specific classification task and restricted the classifiers potential performance and applications. As the …