A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Resource reservations are a very popular choice to schedule multimedia tasks. However, the high variability of the resource requirements hinders a static choice of the scheduling ...
Luigi Palopoli, Luca Abeni, Tommaso Cucinotta, Giu...
Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access patterns change during computation. Implementingsuch problems ondistributed mem...
Shamik D. Sharma, Ravi Ponnusamy, Bongki Moon, Yua...
In this paper, we present a dynamically reconfigurable cache architecture using adaptive block allocation policy analyzed by means of simulation. Our main objectives are: to propo...