A major challenge when attempting to analyze and model large-scale Internet phenomena such as the dynamics of global worm propagation is finding ate abstractions that allow us to ...
Nicholas Weaver, Ihab Hamadeh, George Kesidis, Ver...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
The protein-protein interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experim...
Many object-oriented software applications contain implicit business rules. Although there exist many approaches that advocate the separation of rules, the rules' connections ...
In automatic guidance of agriculture vehicles, lateral control is not the only requirement. Much research work has been focused on trajectory tracking control which can provide hi...
Hao Fang, Ruixia Fan, Benoit Thuilot, Philippe Mar...