Bayesian model selection

31

NIPS
2000

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Automatic Choice of Dimensionality for PCA

14 years 26 days ago

A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...

Thomas P. Minka

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36

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ICML
2008
IEEE

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Memory bounded inference in topic models

15 years 10 days ago

Download vision.caltech.edu

What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...

Ryan Gomes, Max Welling, Pietro Perona

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53

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MICCAI
2009
Springer

364views Medical Imaging» more MICCAI 2009»

Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis

15 years 21 days ago

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Merlin Keller, Marc Lavielle, Matthieu Perrot, ...

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