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139
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AIR
2005
130views more  AIR 2005»
15 years 16 days ago
Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dynam...
Andrew J. Page, Thomas J. Naughton
106
Voted
JSC
2007
80views more  JSC 2007»
15 years 15 days ago
Improved dense multivariate polynomial factorization algorithms
We present new deterministic and probabilistic algorithms that reduce the factorization of dense polynomials from several to one variable. The deterministic algorithm runs in sub-...
Grégoire Lecerf
119
Voted
ICCV
2009
IEEE
16 years 5 months ago
Beyond Connecting the Dots: A Polynomial-time Algorithm for Segmentation and Boundary Estimation with Imprecise User Input
We propose a polynomial-time algorithm for segmentation and (open) boundary estimation which takes into account a series of user-specified attraction points. In contrast to exis...
Thomas Windheuser, Thomas Schoenemann, Daniel Crem...
128
Voted
SAGA
2007
Springer
15 years 6 months ago
A VNS Algorithm for Noisy Problems and Its Application to Project Portfolio Analysis
Abstract. Motivated by an application in project portfolio analysis under uncertainty, we develop an algorithm S-VNS for solving stochastic combinatorial optimization (SCO) problem...
Walter J. Gutjahr, Stefan Katzensteiner, Peter Rei...
ICML
1996
IEEE
15 years 4 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos