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» Algorithms for Large, Sparse Network Alignment Problems
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NCA
2006
IEEE
14 years 1 months ago
An Adaptive Quality of Service Based Scheduling Algorithm for Wide Area Large Scale Problems
This paper explores the problem of dynamically scheduling large scale applications over wide area networks and then proposes an adaptive scheduling algorithm to provide quality of...
Wilson Lozano, Wilson Rivera
NETWORKS
2008
13 years 7 months ago
A simple method for improving the primal simplex method for the multicommodity flow problem
We present a new efficient approach for solving the multicommodity flow problem as a sequence of subproblems, each on a very sparse but connected network. We show that each subpro...
Agustín Bompadre, James B. Orlin
IJCNN
2007
IEEE
14 years 1 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ICWN
2003
13 years 9 months ago
Simple Algorithm for Outdoor Localization of Wireless Sensor Networks with Inaccurate Range Measurements
Abstract— We consider the problem of determining the positions of wireless nodes using range measurements from multiple, sparsely located, beacon stations with known locations. A...
Mihail L. Sichitiu, Vaidyanathan Ramadurai, Pushki...
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
14 years 2 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...