Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
The problem of programmability on modern heterogeneous multicore and future manycore embedded platforms is still not solved satisfactorily: although many existing but incompatible ...
Abstract. Experimental game theory is an increasingly important research tool in many fields, providing insight into strategic behavior through simulation and experimentation on ga...
Complex Multiplication (CM) method is a frequently used method for the generation of elliptic curves (ECs) over a prime field Fp. The most demanding and complex step of this metho...