The Gaussian Process Latent Variable Model

Neil D. Lawrence

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The Gaussian Process Latent Variable Model

Neil D. Lawrence

, 2006.

Abstract

The Gaussian process latent variable model (GP-LVM) is a recently proposed probabilistic approach to obtaining a reduced dimension representation of a data set. In this tutorial we motivate and describe the GP-LVM, giving reviews of the model itself and some of the concepts behind it.

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BibTeX


@Misc{Lawrence:gplvmtut06,
  title = 	 {The {G}aussian Process Latent Variable Model},
  author = 	 {Lawrence, Neil D.},
  year = 	 {2006},
  number =       {CS-06-03},
  pdf = 	 {https://inverseprobability.com/publications/files/gplvmTutorial.pdf},
  url = 	 {/publications/the-gaussian-process-latent-variable-model.html},
  abstract = 	 {The Gaussian process latent variable model (GP-LVM) is a recently proposed probabilistic approach to obtaining a reduced dimension representation of a data set. In this tutorial we motivate and describe the GP-LVM, giving reviews of the model itself and some of the concepts behind it.}
}

Endnote

%0 Generic
%T The Gaussian Process Latent Variable Model
%A Neil D. Lawrence
%D 2006	
%F Lawrence:gplvmtut06
%U /publications/the-gaussian-process-latent-variable-model.html
%N CS-06-03
%X The Gaussian process latent variable model (GP-LVM) is a recently proposed probabilistic approach to obtaining a reduced dimension representation of a data set. In this tutorial we motivate and describe the GP-LVM, giving reviews of the model itself and some of the concepts behind it.

RIS


TY  - GEN
TI  - The Gaussian Process Latent Variable Model
AU  - Neil D. Lawrence
DA  - 2006/01/27	
ID  - Lawrence:gplvmtut06
IS  - CS-06-03
L1  - https://inverseprobability.com/publications/files/gplvmTutorial.pdf
UR  - /publications/the-gaussian-process-latent-variable-model.html
AB  - The Gaussian process latent variable model (GP-LVM) is a recently proposed probabilistic approach to obtaining a reduced dimension representation of a data set. In this tutorial we motivate and describe the GP-LVM, giving reviews of the model itself and some of the concepts behind it.
ER  -

APA


Lawrence, N.D.. (2006). The Gaussian Process Latent Variable Model. (CS-06-03) Available from /publications/the-gaussian-process-latent-variable-model.html.