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» Local Partitioning for Directed Graphs Using PageRank
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NIPS
2000
15 years 3 months ago
Second Order Approximations for Probability Models
In this paper, we derive a second order mean field theory for directed graphical probability models. By using an information theoretic argument it is shown how this can be done in...
Hilbert J. Kappen, Wim Wiegerinck
INFOCOM
2005
IEEE
15 years 8 months ago
GLIDER: gradient landmark-based distributed routing for sensor networks
— We present Gradient Landmark-Based Distributed Routing (GLIDER), a novel naming/addressing scheme and associated routing algorithm, for a network of wireless communicating node...
Qing Fang, Jie Gao, Leonidas J. Guibas, V. de Silv...
ICML
2007
IEEE
16 years 3 months ago
Learning random walks to rank nodes in graphs
Ranking nodes in graphs is of much recent interest. Edges, via the graph Laplacian, are used to encourage local smoothness of node scores in SVM-like formulations with generalizat...
Alekh Agarwal, Soumen Chakrabarti
COCOA
2011
Springer
14 years 2 months ago
Algorithmic Aspects of Heterogeneous Biological Networks Comparison
Biological networks are commonly used to model molecular activity within the cell. Recent experimental studies have shown that the detection of conserved subnetworks across several...
Guillaume Blin, Guillaume Fertin, Hafedh Mohamed-B...
ICML
2009
IEEE
16 years 3 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...