We propose a mechanism that allows applications to survive operating system kernel crashes and continue functioning with no application data loss after a system reboot. This mecha...
Abstract. In this paper, we consider the possibility of obtaining a kernel machine that is sparse in feature space and smooth in output space. Smooth in output space implies that t...
In this paper, we present a mechanism that allows applications to survive operating system kernel crashes and continue functioning with no application data loss after a system reb...
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector Machine classifier, and demonstrate its use for an...
Multicore processors are marking the beginning of a new era of computing where massive parallelism is available and necessary. Slightly slower but easy to parallelize kernels are ...