The optimal allocation of resources in wireless communication systems is formulated as a machine learning problem. These two problems are shown to be more similar to each other than they look: Optimal allocation of power and bandwidth across fading states is mathematically equivalent to optimal design of a classifier or regressor over a dataset distribution. Learning techniques produce data driven heuristic solutions and operate without knowledge of systems’ models.
Human brain activities can be ideally modeled using networks and signals supported on networks. Each node in the network represents a brain region of similar functionality, signals denote the level of activity of each brain region, and the network describes
Data is getting big, but more than big it is getting pervasive. As our lives become more dependent and integrated with the digital infrastructure, more aspects of our life get measured and recorded. This pervasiveness leads to the emergence