We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
–Retransmission based schemes are not suitable for energy constrained wireless sensor networks. Hence, there is an interest in including parity bits in each packet for error cont...
Saad B. Qaisar, Shirish S. Karande, Kiran Misra, H...
A sensor network consists of sensing devices which may exchange data through wireless communication. A particular feature of sensor networks is that they are highly energy constrai...
Luca Becchetti, Peter Korteweg, Alberto Marchetti-...
—In this paper, we study the distributed spectrum allocation for autonomous users transmitting delay-sensitive information over a wireless multi-carrier network. Because there is...