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AUTOMATICA
2004
66views more  AUTOMATICA 2004»
15 years 14 days ago
Numerical conditioning and asymptotic variance of subspace estimates
New formulas for the asymptotic variance of the parameter estimates in subspace identi
Alessandro Chiuso, Giorgio Picci
73
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ICMLA
2007
15 years 2 months ago
Bias-variance tradeoff in hybrid generative-discriminative models
Given any generative classifier based on an inexact density model, we can define a discriminative counterpart that reduces its asymptotic error rate, while increasing the estima...
Guillaume Bouchard
ANSS
1996
IEEE
15 years 4 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
104
Voted
TNN
1998
111views more  TNN 1998»
15 years 8 days ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
90
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TIT
2002
129views more  TIT 2002»
15 years 7 days ago
Asymptotic statistical properties of AR Spectral estimators for processes with mixed spectra
In this paper, the influence of a point spectrum on large sample statistics of the autoregressive (AR) spectral estimator is addressed. In particular, the asymptotic distributions ...
Soon-Sen Lau, Peter J. Sherman, Langford B. White