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» On the weight convergence of Elman networks
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NIPS
1990
13 years 8 months ago
Back Propagation is Sensitive to Initial Conditions
This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through th...
John F. Kolen, Jordan B. Pollack
NIPS
2007
13 years 8 months ago
Linear programming analysis of loopy belief propagation for weighted matching
Loopy belief propagation has been employed in a wide variety of applications with great empirical success, but it comes with few theoretical guarantees. In this paper we investiga...
Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Wills...
DCOSS
2011
Springer
12 years 7 months ago
A local average consensus algorithm for wireless sensor networks
—In many application scenarios sensors need to calculate the average of some local values, e.g. of local measurements. A possible solution is to rely on consensus algorithms. In ...
Konstantin Avrachenkov, Mahmoud El Chamie, Giovann...
ICC
2007
IEEE
340views Communications» more  ICC 2007»
14 years 1 months ago
A Decentralized Positioning Method for Wireless Sensor Networks Based on Weighted Interpolation
— A decentralized sensor positioning algorithm is proposed using an adaptive weighted-interpolation method. The proposed method utilizes in-network processing among sensors to co...
Chin-Liang Wang, Yao-Win Hong, Yu-Sheng Dai
ICNP
1998
IEEE
13 years 11 months ago
A Definition of General Weighted Fairness and its Support in Explicit Rate Switch Algorithms
In this paper we give a general definition of weighted fairness and discuss how a pricing policy can be mapped to general weighted (GW) fairness. The GW fairness can be achieved b...
Bobby Vandalore, Sonia Fahmy, Raj Jain, Rohit Goya...