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» Discrete stochastic optimization using linear interpolation
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JMLR
2010
103views more  JMLR 2010»
13 years 2 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
ATAL
2006
Springer
13 years 11 months ago
Resource allocation among agents with preferences induced by factored MDPs
Distributing scarce resources among agents in a way that maximizes the social welfare of the group is a computationally hard problem when the value of a resource bundle is not lin...
Dmitri A. Dolgov, Edmund H. Durfee
TEC
2010
173views more  TEC 2010»
13 years 2 months ago
Analysis of Computational Time of Simple Estimation of Distribution Algorithms
Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
COMPGEOM
2009
ACM
14 years 2 months ago
Embedding rivers in polyhedral terrains
Data conflation is a major issue in GIS: spatial data obtained from different sources, using different acquisition techniques, needs to be combined into one single consistent d...
Marc J. van Kreveld, Rodrigo I. Silveira
COMPGEOM
2006
ACM
14 years 1 months ago
Minimum-cost coverage of point sets by disks
We consider a class of geometric facility location problems in which the goal is to determine a set X of disks given by their centers (tj) and radii (rj) that cover a given set of...
Helmut Alt, Esther M. Arkin, Hervé Brö...