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.

Cite this Paper


BibTeX
@InProceedings{pmlr-v-lawrence-gplvmtut06, title = {The Gaussian Process Latent Variable Model}, author = {Neil D. Lawrence}, year = {}, editor = {}, number = {CS-06-03}, url = {http://inverseprobability.com/publications/lawrence-gplvmtut06.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 Conference Paper %T The Gaussian Process Latent Variable Model %A Neil D. Lawrence %B %C Proceedings of Machine Learning Research %D %E %F pmlr-v-lawrence-gplvmtut06 %I PMLR %J Proceedings of Machine Learning Research %P -- %U http://inverseprobability.com %V %N CS-06-03 %W PMLR %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 - CPAPER TI - The Gaussian Process Latent Variable Model AU - Neil D. Lawrence BT - PY - DA - ED - ID - pmlr-v-lawrence-gplvmtut06 PB - PMLR SP - DP - PMLR EP - L1 - UR - http://inverseprobability.com/publications/lawrence-gplvmtut06.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.. (). The Gaussian Process Latent Variable Model. , in PMLR (CS-06-03):-

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