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IJAR
2010
130views more  IJAR 2010»
15 years 5 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
INFOCOM
2010
IEEE
15 years 5 months ago
Netscope: Practical Network Loss Tomography
—We present Netscope, a tomographic technique that infers the loss rates of network links from unicast endto-end measurements. Netscope uses a novel combination of first- and se...
Denisa Ghita, Hung Xuan Nguyen, Maciej Kurant, Kat...
DSS
2002
231views more  DSS 2002»
15 years 6 months ago
Computational aspects of the FLBC framework
Recent research has sought to develop formal languages for business communication as more expressive, flexible and powerful alternatives to current electronic data interchange (ED...
Aspassia Daskalopulu, Marek J. Sergot
TIT
2011
193views more  TIT 2011»
15 years 1 months ago
Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio Networks
—Maximization of the weighted sum-rate of secondary users (SUs) possibly equipped with multiantenna transmitters and receivers is considered in the context of cognitive radio (CR...
Seung-Jun Kim, Georgios B. Giannakis
TSP
2010
15 years 1 months ago
Estimating multiple frequency-hopping signal parameters via sparse linear regression
Abstract--Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating...
Daniele Angelosante, Georgios B. Giannakis, Nichol...