Training data

Recently, increasing works have been proposed to drive evolutionary algorithms using machine-learning models. Usually, the performance …

Graph-based dimensionality reduction has attracted a lot of attention in recent years. Such methods aim to exploit the graph …

While most part of the complex network models are described in function of some growth mechanism, the optimization of a goal or certain …