Abstract— Recently, several wireless sensor network studies demonstrated large discrepancies between experimentally observed communication properties and properties produced by w...
Alberto Cerpa, Jennifer L. Wong, Louane Kuang, Mio...
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Event simulation and analytic modeling are used to evaluate the performance of Low Latency Queueing (LLQ), a queueing discipline available in some Internet packet switching router...
Denise M. Bevilacqua Masi, Martin J. Fischer, Davi...