1878 search results - page 77 / 376 » The Vienna Abstract Machine |
SIGOPSE
1998
ACM
14 years 2 months ago
1998
ACM
Modern virtual machines, such as Java and Inferno, are emerging as network computing s. While these virtual machines provide higher-level abstractions and more sophisticated servi...
ESANN
2007
13 years 11 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
ICDE
2011
IEEE
13 years 1 months ago
2011
IEEE
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
IJCNN
2007
IEEE
14 years 4 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
ICPP
2005
IEEE
14 years 3 months ago
2005
IEEE
Computational grids can integrate geographically distributed resources into a seamless environment. To facilitate managing these heterogenous resources, the virtual machine gy pro...