This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
With the proliferation of various kinds of sensor networks, we will see large amounts of heterogeneous data. They have different characteristics such as data content, formats, mod...
Eric Bouillet, Mark Feblowitz, Zhen Liu, Anand Ran...
tnesses for Abstract Interpretation-based Proofs Fr´ed´eric Besson, Thomas Jensen, and Tiphaine Turpin IRISA/{Inria, CNRS, Universit´e de Rennes 1} Campus de Beaulieu, F-35042 R...
Selecting the close-to-optimal collective algorithm based on the parameters of the collective call at run time is an important step for achieving good performance of MPI applicatio...
Jelena Pjesivac-Grbovic, George Bosilca, Graham E....
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...