We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
We consider the problem of memory checking, where a user wants to maintain a large database on a remote server but has only limited local storage. The user wants to use the small ...
Cynthia Dwork, Moni Naor, Guy N. Rothblum, Vinod V...
Cache hierarchies have been traditionally designed for usage by a single application, thread or core. As multi-threaded (MT) and multi-core (CMP) platform architectures emerge and...
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...