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94
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SIAMCO
2002
71views more  SIAMCO 2002»
15 years 7 days ago
Rate of Convergence for Constrained Stochastic Approximation Algorithms
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Robert Buche, Harold J. Kushner
97
Voted
APLAS
2005
ACM
15 years 6 months ago
Transformation to Dynamic Single Assignment Using a Simple Data Flow Analysis
This paper presents a novel method to construct a dynamic single assignment (DSA) form of array-intensive, pointer-free C programs (or in any other procedural language). A program ...
Peter Vanbroekhoven, Gerda Janssens, Maurice Bruyn...
ICML
2008
IEEE
16 years 1 months ago
Estimating local optimums in EM algorithm over Gaussian mixture model
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
84
Voted
CDC
2008
IEEE
123views Control Systems» more  CDC 2008»
15 years 7 months ago
On distributed averaging algorithms and quantization effects
—We consider distributed iterative algorithms for the averaging problem over time-varying topologies. Our focus is on the convergence time of such algorithms when complete (unqua...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
101
Voted
FSTTCS
2007
Springer
15 years 6 months ago
Solving Parity Games in Big Steps
Abstract. This paper proposes a new algorithm that improves the complexity bound for solving parity games. Our approach combines McNaughton’s iterated fixed point algorithm with...
Sven Schewe