A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
In this paper we introduce a new watermarking model combining a joint time frequency (TF) representation using the molecular matching pursuit (MMP) algorithm and a psychoacoustic ...
Most database query optimizers use cost models to identify good query execution plans. Inaccuracies in the cost models can cause query optimizers to select poor plans. In this pap...
Efficient multisite job scheduling facilitates the cooperation of multi-domain massively parallel processor systems in a computing grid environment. However, co-allocation, hetero...