Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings. In this paper, a feature vecto...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
We have implemented a virtual machine (VM) for Java which executes on a cluster. Our cluster VM completely hides the cluster from the application, presenting a single system image...
Causality constraints of random discrete simulation make parallel and distributed processing difficult. Methods of applying reconfigurable logic to implement and accelerate simula...
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...