Network tomography aims at inferring internal network characteristics based on measurements at the edge of the network. In loss tomography, in particular, the characteristic of in...
Athina Markopoulou, Christina Fragouli, Minas Gjok...
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
Most well-known algorithms for equational solving are based on quantifier elimination. This technique iteratively eliminates the innermost block of existential/universal quantifie...
Grammar induction, also known as grammar inference, is one of the most important research areas in the domain of natural language processing. Availability of large corpora has enc...
Network line speeds have increased at a significant rate. Unfortunately, network performance has not been able to keep pace with increases in line speed. This is due to the major...
David Salyers, Yingxin Jiang, Aaron Striegel, Chri...