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111
Voted
MOC
2010
14 years 9 months ago
2010
This paper could have been given the title: "How to positively and implicitly solve Euler equations using only linear scalar advections." The new relaxation method we pr...
162
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CORR
2011
Springer
14 years 9 months ago
2011
Springer
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
88
Voted
CEC
2005
IEEE
15 years 8 months ago
2005
IEEE
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
125
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We apply classic online learning techniques similar to the perceptron algorithm to the problem of learning a function defined on a graph. The benefit of our approach includes simp...
111
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CORR
2008
Springer
15 years 2 months ago
2008
Springer
One of the most fundamental problems in large-scale network analysis is to determine the importance of a particular node in a network. Betweenness centrality is the most widely us...