Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
—While there has been much progress in designing backpressure based stabilizing algorithms for multihop wireless networks, end-to-end performance (e.g., end-to-end buffer usage) ...
V. J. Venkataramanan, Xiaojun Lin, Lei Ying, Sanja...
—Recently, network localization systems that are based on inter-node ranges have received significant attention. Geographic routing has been considered an application which can u...
Bo Peng, Rainer Mautz, Andrew H. Kemp, Washington ...
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Compact realizations of reversible logic functions are of interest in the design of quantum computers. Such reversible functions are realized as a cascade of Toffoli gates. In th...