BriefGPT.xyz
Oct, 2014
基于自动化和规范化的高斯过程融合的通用专家积
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
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Yanshuai Cao, David J. Fleet
TL;DR
本文提出了广义专家乘积 (gPoE) 框架，用于结合多个概率模型的预测，通过分析和实验证明，Gaussian processes 一般的gPoE具有可伸缩性、表达力和鲁棒性，同时是现有的组合方案无法同时满足的。
Abstract
In this work, we propose a
generalized product of experts
(gPoE) framework for combining the predictions of multiple
probabilistic models
. We identify four desirable properties that are important for
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