Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
A cross-validation error estimator is obtained by repeatedly leaving out some data points, deriving classifiers on the remaining points, computing errors for these classifiers on ...
: DEVS is a Modeling and Simulation formalism that has been widely used to study the dynamics of discrete event systems. Cell-DEVS is a DEVS-based formalism that defines spatial mo...
Gabriel A. Wainer, Rami Madhoun, Khaldoon Al-Zoubi
On-chip networks (OCNs) have been proposed to solve the increasing scale and complexity of the designs in nanoscale multicore VLSI designs. The concept of irregular meshes is an im...
In recent years, there has been increased interest in topic-focused multi-document summarization. In this task, automatic summaries are produced in response to a specific informat...
Lucy Vanderwende, Hisami Suzuki, Chris Brockett, A...