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» The Sinkhorn-Knopp Algorithm: Convergence and Applications
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SIAMCO
2000
117views more  SIAMCO 2000»
13 years 7 months ago
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
Vivek S. Borkar, Sean P. Meyn
CORR
2011
Springer
170views Education» more  CORR 2011»
12 years 11 months ago
A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement
— In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapid...
Sayed A. Hadei, Mojtaba Lotfizad
CEC
2007
IEEE
14 years 2 months ago
Clonal particle swarm optimization and its applications
— Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search for food, which is a simple but powerful...
Y. Tan, Z. M. Xiao
SIAMIS
2011
13 years 2 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang
IROS
2008
IEEE
92views Robotics» more  IROS 2008»
14 years 2 months ago
Underactuated point stabilization using predictive models with application to marine vehicles
— Point stabilization of an underactuated vehicle is most often accomplished using a periodic time-varying control law, resulting in oscillatory trajectories. We present a two-st...
Matthew Greytak, Franz Hover