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CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 10 months ago
The Naming Game in Social Networks: Community Formation and Consensus Engineering
We study the dynamics of the Naming Game [Baronchelli et al., (2006) J. Stat. Mech.: Theory Exp. P06014] in empirical social networks. This stylized agentbased model captures essen...
Qiming Lu, Gyorgy Korniss, Boleslaw K. Szymanski
IJOE
2006
75views more  IJOE 2006»
13 years 10 months ago
Comparison of Intensive and Extensive Sensor Networking Technologies
The objective of this paper is to emphasize a clear and natural distinction in strategies of sensor network design. In order to display different architectural paradigms in today&#...
Marek Miskowicz
JFR
2006
77views more  JFR 2006»
13 years 10 months ago
Learning from examples in unstructured, outdoor environments
In this paper, we present a multi-pronged approach to the "Learning from Example" problem. In particular, we present a framework for integrating learning into a standard...
Jie Sun, Tejas R. Mehta, David Wooden, Matthew Pow...
PR
2006
89views more  PR 2006»
13 years 10 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis
SIAMSC
2008
188views more  SIAMSC 2008»
13 years 10 months ago
Adaptivity with Dynamic Meshes for Space-Time Finite Element Discretizations of Parabolic Equations
In this paper, we develop an error estimator and an adaptive algorithm for efficient solution of parabolic partial differential equations. The error estimator assesses the discreti...
Michael Schmich, Boris Vexler