We analyze the relationship between the expected packet delay in rooted tree networks and the distribution of time needed for a packet to cross an edge using convexity-based stoch...
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Functional requirements contain, and systems exhibit, the behavior summarized below.Despite the advances in software engineering since 1968, how to go from a set of functional req...
We introduce higher-order, multi-parameter, tree transducers (HMTTs, for short), which are kinds of higher-order tree transducers that take input trees and output a (possibly infi...
We study the shape of coverage functions resulting from the sequencing of random genome fragments, and show that they can be described by Galton-Watson trees. This extends standar...