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» Connectivity of a Gaussian network
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ALENEX
2003
137views Algorithms» more  ALENEX 2003»
15 years 1 months ago
The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs
Graph models for real-world complex networks such as the Internet, the WWW and biological networks are necessary for analytic and simulation-based studies of network protocols, al...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
SODA
2003
ACM
122views Algorithms» more  SODA 2003»
15 years 1 months ago
Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons
Motivated by routing issues in ad hoc networks, we present polylogarithmic-time distributed algorithms for two problems. Given a network, we first show how to compute connected a...
Devdatt P. Dubhashi, Alessandro Mei, Alessandro Pa...
CCS
2009
ACM
15 years 6 months ago
Finding "hidden" connections on linkedIn an argument for more pragmatic social network privacy
Social networking services well know that some users are unwilling to freely share the information they store with the service (e.g. profile information). To address this, servic...
Jessica Staddon
IJAR
2006
80views more  IJAR 2006»
14 years 11 months ago
Operations for inference in continuous Bayesian networks with linear deterministic variables
An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its pare...
Barry R. Cobb, Prakash P. Shenoy
NIPS
2003
15 years 1 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish