9494 search results - page 75 / 1899 » Gaussian Process Networks |
113
click to vote
DSMML
2004
Springer
15 years 6 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
77
Voted
ICANNGA
2007
Springer
15 years 6 months ago
2007
Springer
Rates of approximation by networks with Gaussian RBFs with varying widths are investigated. For certain smooth functions, upper bounds are derived in terms of a Sobolev-equivalent ...
74
Voted
MASCOTS
2000
15 years 2 months ago
2000
This paper describes three visually interactive tools for the analysis, modeling, and generation of long-range dependent (LRD) network traffic. The synTraff toolkit uses a three-s...
91
Voted
ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
83
Voted
ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...