We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
— We study a fixed point formalisation of the well known analysis of Bianchi [3]. We provide a significant simplification and generalisation of the analysis. In this more gene...
Background: Current methods for the automated generation of genome-scale metabolic networks focus on genome annotation and preliminary biochemical reaction network assembly, but d...
Matthew DeJongh, Kevin Formsma, Paul Boillot, John...
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
— We consider comparison of Mutual Information (MI)-Energy tradeoff in correlated wireless sensor network (WSN) for cooperative multiple input and multiple output (MIMO) and non-...