44 search results - page 1 / 9 » Numerical conditioning and asymptotic variance of subspace e... |
AUTOMATICA
2004
13 years 4 months ago
2004
New formulas for the asymptotic variance of the parameter estimates in subspace identi
ICMLA
2007
13 years 6 months ago
2007
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...
ANSS
1996
IEEE
13 years 9 months ago
1996
IEEE
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...
TNN
1998
13 years 4 months ago
1998
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
TIT
2002
13 years 4 months ago
2002
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 ...