Christopher Smith

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Many network visualizations make the assumption that an administrator has previously determined the subset of data that should be visualized. Yet the problem remains that if the visualization provides no insight into the network events that warrant further consideration , then the administrator must go back to the data to determine what should be visualized(More)
Ensembles have been shown to provide better generalization performance than single models. However, the creation, selection and combination of individual predictors is critical to the success of an ensemble, as each individual model needs to be both accurate and diverse. In this paper we present a hybrid multi-objective evolutionary algorithm that trains(More)
– An approach for evaluating the performance of decentralized estimation systems under non-ideal communications is presented. Recent studies have shown that transmission disruptions occur frequently in tactical wireless networks due to a variety of unpredictable factors, such as unintentional interference or jamming. Yet the impact of non-ideal(More)
While existing resource management software systems each have distinct and advanced capabilities, the way in which a user submits a basic job is generally similar across resource mangement systems. Recognizing this, the HPC Profile Working Group in the Open Grid Forum (OGF) has recently created a set of standards to define a common Web-services-based(More)
Amorphous program slicing relaxes the syntactic constraint of traditional slicing and can therefore produce considerably smaller slices. This simplification power can be used to answer questions a software engineer might have about a program by first augmenting the program to maket he question explicit and then slicing out an answer. One benefit of this(More)
To model agent relationships in agent-based models, it is often necessary to incorporate a social network whose topology is commonly assumed to be " small-world ". This is potentially problematic, as the classification is broad and covers a wide-range of network statistics. Furthermore, real networks are often dynamic, in that edges and nodes can appear or(More)