Abstract. We consider the problem of scheduling jobs on related machines owned by selfish agents and provide the first deterministic mechanisms with constant approximation that a...
Vincenzo Auletta, Roberto De Prisco, Paolo Penna, ...
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
High performance computing on parallel architectures currently uses different approaches depending on the hardory model of the architecture, the abstraction level of the programmi...
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....