With the constant advances in technology that lead to the increasing of the transistor count and processor frequency, power dissipation is becoming one of the major issues in high...
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
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....
Many decidability results are known for non-recursive cryptographic protocols, where the protocol steps can be expressed by simple rewriting rules. Recently, a tree transducer-base...
Gene expression profiles with clinical outcome data enable monitoring of disease progression and prediction of patient survival at the molecular level. We present a new computatio...