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ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
14 years 2 months ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...
DCG
2002
66views more  DCG 2002»
13 years 7 months ago
Generation of Oriented Matroids - A Graph Theoretical Approach
We discuss methods for the generation of oriented matroids and of isomorphism classes of oriented matroids. Our methods are based on single element extensions and graph theoretica...
Lukas Finschi, Komei Fukuda
LICS
2003
IEEE
14 years 1 months ago
Micro-Macro Stack Systems: A New Frontier of Elementary Decidability for Sequential Systems
We define the class of micro-macro stack graphs, a new class of graphs modeling infinite-state sequential systems with a decidable model-checking problem. Micro-macro stack grap...
Nir Piterman, Moshe Y. Vardi
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
13 years 11 months ago
Spectral techniques for graph bisection in genetic algorithms
Various applications of spectral techniques for enhancing graph bisection in genetic algorithms are investigated. Several enhancements to a genetic algorithm for graph bisection a...
Jacob G. Martin
AUSAI
2003
Springer
14 years 1 months ago
A New Hybrid Genetic Algorithm for the Robust Graph Coloring Problem
Abstract. The RGCP (Robust Graph Coloring problem) is a new variant of the traditional graph coloring problem. It has numerous practical applications in real world like timetabling...
Ying Kong, Fan Wang, Andrew Lim, Songshan Guo