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» Study of Challenges and Techniques in Large Scale Matching
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93
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CP
2010
Springer
14 years 8 months ago
Spatial, Temporal, and Hybrid Decompositions for Large-Scale Vehicle Routing with Time Windows
This paper studies the use of decomposition techniques to quickly find high-quality solutions to large-scale vehicle routing problems with time windows. It considers an adaptive d...
Russell Bent, Pascal Van Hentenryck
ICCS
2003
Springer
15 years 3 months ago
Parallelisation of Sparse Grids for Large Scale Data Analysis
Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
Jochen Garcke, Markus Hegland, Ole Møller N...
110
Voted
CMG
2003
14 years 11 months ago
{Performance Modeling and Evaluation of Large-Scale J2EE Applications
The queueing Petri net (QPN) paradigm provides a number of benefits over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using qu...
Samuel Kounev, Alejandro P. Buchmann
SIGCOMM
2012
ACM
13 years 19 days ago
Revealing contact interval patterns in large scale urban vehicular ad hoc networks
Contact interval between moving vehicles is one of the key metrics in vehicular ad hoc networks (VANETs), which is important to routing schemes and network capacity. In this work,...
Yong Li, Depeng Jin, Pan Hui, Li Su, Lieguang Zeng
87
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SIGIR
2006
ACM
15 years 4 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi