The specific challenges of multihop wireles networks lead to a strong research effort on efficient protocols design where the offered capacity is a key objective. More specifically...
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. As an extension of Welling and ...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
We define and study the bandwidth determination problem in adhoc P2P environments. Using point-to-point bandwidth probes, the goal is to quickly determine each host's upload ...
John R. Douceur, James W. Mickens, Thomas Moscibro...
—We analyze how node mobility can influence the convergence time of averaging gossip algorithms on networks. Our main result is that even a small number of fully mobile nodes ca...