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» Deterministic and Probabilistic Implementation of Context
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DSN
2004
IEEE
13 years 11 months ago
Cluster-Based Failure Detection Service for Large-Scale Ad Hoc Wireless Network Applications
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...
Ann T. Tai, Kam S. Tso, William H. Sanders
JMLR
2010
145views more  JMLR 2010»
13 years 2 months ago
Parallelizable Sampling of Markov Random Fields
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...
James Martens, Ilya Sutskever
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 10 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
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
SIAMCOMP
2002
98views more  SIAMCOMP 2002»
13 years 7 months ago
Self-Stabilizing Symmetry Breaking in Constant Space
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...
DT
2006
98views more  DT 2006»
13 years 7 months ago
Handling variations and uncertainties
The widely used engineering decisions concerning the performance of technological equipment for process industries are usually deterministic. Since the early 1990s probabilistic m...
Tim Cheng