High-Performance Reconfigurable Computers (HPRCs) are parallel machines consisting of FPGAs and microprocessors, with the FPGAs used as co-processors. The execution of parallel app...
Esam El-Araby, Vikram K. Narayana, Tarek A. El-Gha...
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich...
John William Paisley, Aimee Zaas, Christopher W. W...
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...