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» Warped Gaussian Processes
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76
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NIPS
2007
15 years 5 months ago
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
We introduce a functional representation of time series which allows forecasts to be performed over an unspecified horizon with progressively-revealed information sets. By virtue...
Nicolas Chapados, Yoshua Bengio
164
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ESANN
2006
15 years 5 months ago
A Gaussian process latent variable model formulation of canonical correlation analysis
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
Gayle Leen, Colin Fyfe
123
Voted
NIPS
2004
15 years 5 months ago
Semi-supervised Learning via Gaussian Processes
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Neil D. Lawrence, Michael I. Jordan
110
Voted
NIPS
2000
15 years 5 months ago
Sparse Representation for Gaussian Process Models
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
Lehel Csató, Manfred Opper
141
Voted
WCE
2007
15 years 4 months ago
Transformation Model Estimation for Point Matching Via Gaussian Processes
—One of main issues in point matching is the choice of the mapping function and the computation of its optimal hyperparameters. In this paper, we propose an attractive approach t...
Xin Yu, Jin-Wen Tian, Jian Liu