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HAIS
2009
Springer
15 years 2 months ago
A GA(TS) Hybrid Algorithm for Scheduling in Computational Grids
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
Fatos Xhafa, Juan Antonio Gonzalez, Keshav P. Daha...
87
Voted
COMSWARE
2008
IEEE
15 years 4 months ago
On TCP-aware uplink scheduling in IEEE 802.16 networks
Abstract—In this paper we propose two polling based scheduling schemes for applications based on TCP in a multipointto-point IEEE 802.16 network. The first scheme uses TCP conge...
Hemant Kumar Rath, Abhay Karandikar
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 2 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
SASN
2006
ACM
15 years 3 months ago
Location-aware key predistribution scheme for wide area wireless sensor networks
Key predistribution in wireless sensor networks refers to the problem of distributing secret keys among sensors prior to deployment. Solutions appeared in the literature can be cl...
Katerina Simonova, Alan C. H. Ling, Xiaoyang Sean ...
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná