Developing a large belief network, like any large system, requires systems engineering to manage the design and construction process. We propose that network engineering follow a ...
We address failure location and restoration in both optical and wireless ad hoc networks. First, we show how Maximum Likelihood inference can improve failure location algorithms in...
Frederick Ducatelle, Luca Maria Gambardella, Macie...
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
Border Gateway Protocol allows Autonomous Systems (ASs) to apply diverse routing policies for selecting routes and for propagating reachability information to other ASs. Although ...
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...