Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Decentralized decision making under uncertainty has been shown to be intractable when each agent has different partial information about the domain. Thus, improving the applicabil...
There is an increasing interest in the concept of intelligent environments where a closed or delimited public space (shopping mall, station, museum, hospital etc) is endowed with ...
Beibei Zhan, Ndedi D. Monekosso, Paolo Remagnino, ...
Demand-driven spectrum allocation can drastically improve performance for WiFi access points struggling under increasing user demands. While their frequency agility makes cognitive...
Lei Yang, Lili Cao, Heather Zheng, Elizabeth M. Be...
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
Nello Cristianini, Colin Campbell, John Shawe-Tayl...