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» Local Graph Partitions for Approximation and Testing
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JMLR
2012
11 years 8 months ago
Globally Optimizing Graph Partitioning Problems Using Message Passing
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Elad Mezuman, Yair Weiss
ICTAI
2010
IEEE
13 years 3 months ago
An Effective Multilevel Memetic Algorithm for Balanced Graph Partitioning
The balanced graph partitioning consists in dividing the vertices of an undirected graph into a given number of subsets of approximately equal size, such that the number of edges c...
Una Benlic, Jin-Kao Hao
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
14 years 6 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
EVOW
2004
Springer
13 years 11 months ago
A Hierarchical Social Metaheuristic for the Max-Cut Problem
This paper introduces a new social metaheuristic for the Max-Cut problem applied to a weighted undirected graph. This problem consists in finding a partition of the nodes into two ...
Abraham Duarte, Felipe Fernández, Án...
INFOCOM
2008
IEEE
14 years 1 days ago
Minimum Cost Data Aggregation with Localized Processing for Statistical Inference
—The problem of minimum cost in-network fusion of measurements, collected from distributed sensors via multihop routing is considered. A designated fusion center performs an opti...
Animashree Anandkumar, Lang Tong, Ananthram Swami,...