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» Error Bounds for Functional Approximation and Estimation Usi...
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63
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TIT
1998
72views more  TIT 1998»
14 years 10 months ago
Error Bounds for Functional Approximation and Estimation Using Mixtures of Experts
Assaf J. Zeevi, Ron Meir, Vitaly Maiorov
121
Voted
TNN
2010
216views Management» more  TNN 2010»
14 years 5 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
90
Voted
DAGSTUHL
2008
15 years 11 days ago
Error Bounds for Lanczos Approximations of Rational Functions of Matrices
Abstract. Having good estimates or even bounds for the error in computing approximations to expressions of the form f(A)v is very important in practical applications. In this paper...
Andreas Frommer, Valeria Simoncini
106
Voted
UAI
2003
15 years 8 days ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
73
Voted
ICASSP
2011
IEEE
14 years 2 months ago
An approximate Minimum MOSPA estimator
Optimizing over a variant of the Mean Optimal Subpattern Assignment (MOSPA) metric is equivalent to optimizing over the track accuracy statistic often used in target tracking benc...
David Frederic Crouse, Peter Willett, Marco Guerri...