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Scaling the iHMM: Parallelization versus Hadoop
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由 S Bratieres 著作被引用 13 次 — Abstract—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm.
Scaling the iHMM: Parallelization versus Hadoop
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由 S Bratières 著作2010被引用 13 次 — Abstract: This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm.
(PDF) Scaling the iHMM: Parallelization versus Hadoop
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This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run ...
Scaling the iHMM: Parallelization versus Hadoop
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由 S Bratières 著作2010被引用 13 次 — Abstract. This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm.
Scaling the iHMM: Parallelization versus Hadoop - CoLab
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2010年6月1日 — Scaling the iHMM: Parallelization versus Hadoop. Bratières S., van Gael J., Vlachos A., Ghahramani Z. Expand. Publication type: Proceedings ...
Sébastien Bratières - Google 学术搜索
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Scaling the iHMM: parallelization versus Hadoop. S Bratieres, J Van Gael, A Vlachos, Z Ghahramani.
Sébastien Bratières
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Scaling the iHMM: Parallelization versus Hadoop. Sébastien Bratières, Jurgen Van Gael, Andreas Vlachos, Zoubin Ghahramani, 2010. (In Proceedings of the 2010 ...
Sébastien Bratières
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Scaling the iHMM: parallelization versus Hadoop. S Bratieres, J Van Gael, A Vlachos, Z Ghahramani. 2010 10th IEEE International Conference on Computer and ...
Sébastien Bratières
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Scaling the iHMM: parallelization versus Hadoop. S Bratieres, J Van Gael, A Vlachos, Z Ghahramani. 2010 10th IEEE International Conference on Computer and ...
experiments in the same plot. The general scaling trend follows...
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This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under ...