Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Abstract—While the cost of nodes in a wireless mesh network is decreasing, the price tag of the network as a whole is best minimized by deploying the fewest number of nodes that ...
Most network engineering tools are unsatisfactory. Measurements are not predictive, simulations do not scale, and analysis is limited to oversimplified models. To be more useful, ...
We present a short way of proving the inequalities obtained by Wright in [Journal of Graph Theory, 4: 393 – 407 (1980)] concerning the number of connected graphs with ℓ edges m...
Let S be a connected graph which contains an induced path of n-1 vertices, where n is the order of S. We consider a puzzle on S. A configuration of the puzzle is simply an n-dimen...