Sinusoidal modeling is traditionally one of the most popular techniques for low bitrate audio coding. Usually, the sinusoidal parameters are kept constant within a time segment bu...
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
Communicationin aparallel systemfrequently involvesmoving data from the memory of one node to the memory of another; this is the standard communication model employedin message pa...
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...