One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
There is an increasing demand for locality-preserving distribution of complex data structures in peer-to-peer systems. Current systems either do not preserve object locality or su...
Abstract. Sensor relocation protocols can be employed as fault tolerance approach to offset the coverage loss caused by node failures. We introduce a novel localized structure, in...
In this paper optimization of DSR is achieved using New Link Cache structure and Source Transparent Route Maintenance Method. The new link cache effectively utilizes the memory by ...
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...