In this paper we propose a distributed approach to construct vicinity resource maps at each node in a delaytolerant network. The scheme uses recent encounters to estimate the avail...
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
We propose Adaptive Multi-level ECN, a new TCP congestion scheme as an extension to Multi-level Explicit Congestion Notification (MECN). MECN algo- rithm allows network operators t...
Started in 1998, the search engine Google estimates page importance using several parameters. PageRank is one of those. Precisely, PageRank is a distribution of probability on the ...
Bootstrapping is a resampling technique that requires less computer time than simulation does. Bootstrapping -like simulation-must be defined for each type of application. This pa...
Jack P. C. Kleijnen, A. J. Feelders, Russell C. H....