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» Competitive Analysis of Distributed Algorithms
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99
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TPDS
2010
135views more  TPDS 2010»
14 years 11 months ago
Maximizing Service Reliability in Distributed Computing Systems with Random Node Failures: Theory and Implementation
—In distributed computing systems (DCSs) where server nodes can fail permanently with nonzero probability, the system performance can be assessed by means of the service reliabil...
Jorge E. Pezoa, Sagar Dhakal, Majeed M. Hayat
105
Voted
CDC
2010
IEEE
115views Control Systems» more  CDC 2010»
14 years 7 months ago
Distributed statistical estimation of the number of nodes in sensor networks
The distributed estimation of the number of active sensors in a network can be important for estimation and organization purposes. We propose a design methodology based on the foll...
Damiano Varagnolo, Gianluigi Pillonetto, Luca Sche...
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 3 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
ICML
2009
IEEE
16 years 1 months ago
Structure learning with independent non-identically distributed data
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
Robert E. Tillman
85
Voted
ICML
2004
IEEE
16 years 1 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...