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» On robust online scheduling algorithms
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ESA
2008
Springer
99views Algorithms» more  ESA 2008»
13 years 9 months ago
Robust Kinetic Convex Hulls in 3D
Abstract. Kinetic data structures provide a framework for computing combinatorial properties of continuously moving objects. Although kinetic data structures for many problems have...
Umut A. Acar, Guy E. Blelloch, Kanat Tangwongsan, ...
VLSISP
2002
124views more  VLSISP 2002»
13 years 7 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
SIGECOM
2010
ACM
170views ECommerce» more  SIGECOM 2010»
14 years 24 days ago
Optimal online assignment with forecasts
Motivated by the allocation problem facing publishers in display advertising we formulate the online assignment with forecast problem, a version of the online allocation problem w...
Erik Vee, Sergei Vassilvitskii, Jayavel Shanmugasu...
INFOCOM
2009
IEEE
14 years 2 months ago
Online Bipartite Perfect Matching With Augmentations
—In this paper, we study an online bipartite matching problem, motivated by applications in wireless communication, content delivery, and job scheduling. In our problem, we have ...
Kamalika Chaudhuri, Constantinos Daskalakis, Rober...
ALGORITHMICA
2004
111views more  ALGORITHMICA 2004»
13 years 7 months ago
Non-Clairvoyant Scheduling for Minimizing Mean Slowdown
We consider the problem of scheduling dynamically arriving jobs in a non-clairvoyant setting, that is, when the size of a job in remains unknown until the job finishes execution. ...
Nikhil Bansal, Kedar Dhamdhere, Jochen Könema...