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TSP
2010
14 years 11 months ago
Shrinkage algorithms for MMSE covariance estimation
We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are ...
Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O....
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 8 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
EDCC
1999
Springer
15 years 8 months ago
A Fault Tolerant Clock Synchronization Algorithm for Systems with Low-Precision Oscillators
In this paper we present a new fault tolerant clock synchronization algorithm called the Fault Tolerant Daisy Chain algorithm. It is intended for internal clock synchronization of...
Henrik Lönn
COLT
2008
Springer
15 years 6 months ago
More Efficient Internal-Regret-Minimizing Algorithms
Standard no-internal-regret (NIR) algorithms compute a fixed point of a matrix, and hence typically require O(n3 ) run time per round of learning, where n is the dimensionality of...
Amy R. Greenwald, Zheng Li, Warren Schudy
ECCC
2007
180views more  ECCC 2007»
15 years 4 months ago
Adaptive Algorithms for Online Decision Problems
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
Elad Hazan, C. Seshadhri