There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data. However, in many settings the HDP-HMM's strict Markovian constraints...

(cont.) mechanism, a user only needs to know a small region of the Internet in order to select a route to reach a destination. In addition, a novel route representation and packet forwarding scheme is designed such that a source and a destination address can uniquely represent a sequence of...