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» The Convergence Rate of AdaBoost
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TNN
2010
176views Management» more  TNN 2010»
13 years 4 months ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song
ICASSP
2011
IEEE
13 years 1 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
SIGMETRICS
2011
ACM
237views Hardware» more  SIGMETRICS 2011»
13 years 21 days ago
Analysis of DCTCP: stability, convergence, and fairness
Cloud computing, social networking and information networks (for search, news feeds, etc) are driving interest in the deployment of large data centers. TCP is the dominant Layer 3...
Mohammad Alizadeh, Adel Javanmard, Balaji Prabhaka...
TIT
2008
123views more  TIT 2008»
13 years 9 months ago
Geometric Upper Bounds on Rates of Variable-Basis Approximation
In this paper, approximation by linear combinations of an increasing number n of computational units with adjustable parameters (such as perceptrons and radial basis functions) is ...
Vera Kurková, Marcello Sanguineti
GECCO
2004
Springer
126views Optimization» more  GECCO 2004»
14 years 3 months ago
A Gene Based Adaptive Mutation Strategy for Genetic Algorithms
In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests us...
Sima Uyar, Sanem Sariel, Gülsen Eryigit