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Jul, 2017
贝叶斯非负矩阵分解推断方法的比较研究
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation
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Thomas Brouwer, Jes Frellsen, Pietro Lió
TL;DR
该研究考虑用贝叶斯矩阵分解法进行数据预测和模式发现，比较了不同推理方法在噪声和数据稀疏性下的收敛性和鲁棒性，并讨论了如何通过提出的贝叶斯自动相关性确定先验进行模型选择。
Abstract
In this paper, we study the trade-offs of different
inference approaches
for
bayesian matrix factorisation
methods, which are commonly used for predicting missing values, and for finding patterns in the data. In
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