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...
Providing a comprehensive set of relevant information at the point of care is crucial for making correct clinical decisions in a timely manner. Retrieval of scenario specific inf...
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Collaboratories refer to laboratories where scientists can work together while they are in distant locations from each other and from key equipment. They have captured the interes...
Rob Kling, Geoffrey W. McKim, Joanna Fortuna, Adam...
— Wireless transmission based on cooperation promises to bring performance improvements in multi–node networks. Several cooperative schemes have appeared in the literature, and...
Persefoni Kyritsi, Petar Popovski, Patrick C. F. E...