Many of the data-centric network services deployed today hold massive volumes of data at their origin websites, and access the data to dynamically generate responses to user reque...
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
Soft errors have become a significant concern and recent studies have measured the “architectural vulnerability factor” of systems to such errors, or conversely, the potentia...
Darshan D. Thaker, Diana Franklin, John Oliver, Su...
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...