Gaussian Process Models with Parallelization and GPU acceleration

Zhenwen DaiAndreas DamianouJames HensmanNeil D. Lawrence
, 2014.

Abstract

Cite this Paper


BibTeX
@InProceedings{pmlr-v-dai-gpu14, title = {Gaussian Process Models with Parallelization and GPU acceleration}, author = {Zhenwen Dai and Andreas Damianou and James Hensman and Neil D. Lawrence}, year = {}, editor = {}, url = {http://inverseprobability.com/publications/dai-gpu14.html}, abstract = {} }
Endnote
%0 Conference Paper %T Gaussian Process Models with Parallelization and GPU acceleration %A Zhenwen Dai %A Andreas Damianou %A James Hensman %A Neil D. Lawrence %B %C Proceedings of Machine Learning Research %D %E %F pmlr-v-dai-gpu14 %I PMLR %J Proceedings of Machine Learning Research %P -- %U http://inverseprobability.com %V %W PMLR %X
RIS
TY - CPAPER TI - Gaussian Process Models with Parallelization and GPU acceleration AU - Zhenwen Dai AU - Andreas Damianou AU - James Hensman AU - Neil D. Lawrence BT - PY - DA - ED - ID - pmlr-v-dai-gpu14 PB - PMLR SP - DP - PMLR EP - L1 - UR - http://inverseprobability.com/publications/dai-gpu14.html AB - ER -
APA
Dai, Z., Damianou, A., Hensman, J. & Lawrence, N.D.. (). Gaussian Process Models with Parallelization and GPU acceleration. , in PMLR :-

Related Material