The growing interest in ad hoc wireless network applications that are made of large and dense populations of lightweight system resources calls for scalable approaches to fault to...
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
abstract Alain Mayer Yoram Ofeky Rafail Ostrovskyz Moti Yungx We investigate the problem of self-stabilizing round-robin token management scheme on an anonymous bidirectional ring...
Alain J. Mayer, Rafail Ostrovsky, Yoram Ofek, Moti...
The widely used engineering decisions concerning the performance of technological equipment for process industries are usually deterministic. Since the early 1990s probabilistic m...