Nowadays, spatial analysis led on complex phenomenon implies the usage of data available on heterogeneous territorial meshes, that is to say misaligned meshes. Then, combine these ...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
— In this paper we investigate the use of proactive multipath routing to achieve energy efficient operation of ad hoc wireless networks. The focus is on optimizing trade-offs be...