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CORR
2004
Springer
140views Education» more  CORR 2004»
13 years 8 months ago
Better algorithms for unfair metrical task systems and applications
Unfair metrical task systems are a generalization of online metrical task systems. In this paper we introduce new techniques to combine algorithms for unfair metrical task systems...
Amos Fiat, Manor Mendel
DAGSTUHL
2007
13 years 10 months ago
The Sinkhorn-Knopp Algorithm: Convergence and Applications
As long as a square nonnegative matrix A contains sufficient nonzero elements, then the Sinkhorn-Knopp algorithm can be used to balance the matrix, that is, to find a diagonal sc...
Philip A. Knight
CDC
2009
IEEE
217views Control Systems» more  CDC 2009»
13 years 10 months ago
Discrete invasive weed optimization algorithm: application to cooperative multiple task assignment of UAVs
This paper presents a novel discrete population based stochastic optimization algorithm inspired from weed colonization. Its performance in a discrete benchmark, timecost trade-off...
Mohsen Ramezani Ghalenoei, Hossein Hajimirsadeghi,...
CG
2007
Springer
13 years 8 months ago
A fast all nearest neighbor algorithm for applications involving large point-clouds
Algorithms that use point-cloud models make heavy use of the neighborhoods of the points. These neighborhoods are used to compute the surface normals for each point, mollificatio...
Jagan Sankaranarayanan, Hanan Samet, Amitabh Varsh...
TOMACS
2010
79views more  TOMACS 2010»
13 years 3 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu