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» Using Gaussian Processes to Optimize Expensive Functions
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NIPS
2007
13 years 9 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu
UAI
2000
13 years 8 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman
ITCC
2005
IEEE
14 years 1 months ago
Fuzzy-based Parameterized Gaussian Edge Detector Using Global and Local Properties
Many edge detection schemes suffer from the lack of image quality at the global level. Global properties are more vital in grayscale images due to loss of hue and texture. This pa...
John See, Madasu Hanmandlu, Shantaram Vasikarla
DSMML
2004
Springer
14 years 28 days ago
Transformations of Gaussian Process Priors
Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
Roderick Murray-Smith, Barak A. Pearlmutter
ICC
2007
IEEE
118views Communications» more  ICC 2007»
14 years 1 months ago
Sending Correlated Gaussian Sources over a Gaussian MAC: To Code, or not to Code
— We consider 1-helper problem in which one source provides partial side information to the fusion center (FC) to help reconstruction of the main source signal. Both sources comm...
Hamid Behroozi, M. Reza Soleymani