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REPLICATION
2010
15 years 3 months ago
A History of the Virtual Synchrony Replication Model
In this chapter, we discuss a widely used fault-tolerant data replication model called virtual synchrony. The model responds to two kinds of needs. First, there is the practical qu...
Ken Birman
UAI
2003
15 years 6 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
WWW
2008
ACM
16 years 5 months ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
BMCBI
2007
105views more  BMCBI 2007»
15 years 5 months ago
Generating confidence intervals on biological networks
Background: In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interact...
Thomas Thorne, Michael P. H. Stumpf
INFOCOM
2006
IEEE
15 years 11 months ago
Sketch Guided Sampling - Using On-Line Estimates of Flow Size for Adaptive Data Collection
— Monitoring the traffic in high-speed networks is a data intensive problem. Uniform packet sampling is the most popular technique for reducing the amount of data the network mo...
Abhishek Kumar, Jun Xu