This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
The quantum query complexity of searching for local optima has been a subject of much interest in the recent literature. For the d-dimensional grid graphs, the complexity has been...
In this paper we explore the effect of using Augmented Reality for three-dimensional graph link analysis. Two experiments were conducted. The first was designed to compare a tangi...
Daniel Belcher, Mark Billinghurst, Sean Hayes, Ran...