Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
In a recent article, Nakhleh, Ringe and Warnow introduced perfect phylogenetic networks--a model of language evolution where languages do not evolve via clean speciation--and form...
We present two Bayesian algorithms CD-B and CD-H for discovering unconfounded cause and effect relationships from observational data without assuming causal sufficiency which prec...
Subramani Mani, Constantin F. Aliferis, Alexander ...
Abstract—This paper considers power and bandwidth allocation to maximize the end-to-end rate in a multihop wireless network. Assuming an orthogonal frequency division multiplexin...