711 search results - page 4 / 143 » On multivariate estimation by thresholding |
CSDA
2008
13 years 7 months ago
2008
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
EVOW
2009
Springer
14 years 2 months ago
2009
Springer
Motivated by parallel optimization, we experiment EDA-like adaptation-rules in the case of λ large. The rule we use, essentially based on estimation of multivariate normal algorit...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
We consider on-line density estimation with the multivariate Gaussian distribution. In each of a sequence of trials, the learner must posit a mean µ and covariance Σ; the learner...
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. Conventional approaches to this p...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. We present a novel algorithm for approximating the parameters of a multivariate t-distribution. At the expense of a slightly decreased accuracy in the estimates, the prop...