BriefGPT.xyz
Dec, 2023
贝叶斯迁移学习
Bayesian Transfer Learning
HTML
PDF
Piotr M. Suder, Jason Xu, David B. Dunson
TL;DR
贝叶斯迁移学习方法在不同领域的先前知识引导新学习任务的最佳信息问题上具有广泛应用,并通过模拟研究展示了其与频率论竞争者相比的性能。
Abstract
transfer learning
is a burgeoning concept in statistical machine learning that seeks to improve inference and/or predictive accuracy on a domain of interest by leveraging data from related domains. While the term "
trans
→