Sciweavers

9494 search results - page 75 / 1899
» Gaussian Process Networks
Sort
View
DSMML
2004
Springer
14 years 3 months ago
Extensions of the Informative Vector Machine
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...
Neil D. Lawrence, John C. Platt, Michael I. Jordan
ICANNGA
2007
Springer
141views Algorithms» more  ICANNGA 2007»
14 years 4 months ago
Estimates of Approximation Rates by Gaussian Radial-Basis Functions
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 ...
Paul C. Kainen, Vera Kurková, Marcello Sang...
MASCOTS
2000
13 years 11 months ago
The synTraff Suite of Traffic Modeling Toolkits
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...
Ram Balakrishnan, Carey L. Williamson
ICIP
2006
IEEE
14 years 11 months ago
Estimating Illumination Chromaticity via Kernel Regression
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...
Vivek Agarwal, Andrei V. Gribok, Andreas Koschan, ...
ICASSP
2008
IEEE
14 years 4 months ago
Robust kernel density estimation
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 ...
JooSeuk Kim, Clayton Scott