We derive generalization and excess risk bounds for neural networks using a family of complexity measures based on a multilevel relative entropy. The bounds are obtained by introducing the notion of generated hierarchical coverings of neural networks and b ...
By combining well-established population genetic theory with high-throughput sequencing data from natural populations, major strides have recently been made in understanding how, why, and when vertebrate populations evolve crypsis. Here, we focus on backgr ...
Although rapid population growth will give them a significant weight in global urbanization by the middle of the century, African cities remain little known. As a result, they are essentially outside the global intellectual arena on urban issues, which jus ...
Erectile dysfunction (ED) is a widespread disease affecting approximately 20% of men. With a rising incidence due to the global
ageing of the world population, it is estimated that over 322 million patients will be affected in 2025. While not being a lifet ...
Today's electrical grid is undergoing deep changes, resulting from the large integration of distributed Renewable Energy Sources (RES) in an effort to decarbonize the generation of electrical energy. In addition to the emergence of this volatile electricit ...
Uncertainty presents a problem for both human and machine decision-making. While utility maximization has traditionally been viewed as the motive force behind choice behavior, it has been theorized that uncertainty minimization may supersede reward motivat ...
