BriefGPT.xyz
Nov, 2016
和积定理:可学习可计算模型的基础
The Sum-Product Theorem: A Foundation for Learning Tractable Models
HTML
PDF
Abram L. Friesen, Pedro Domingos
TL;DR
文章介绍了将sum-product networks 扩展到更广泛的学习问题并确保可解,同时应用于结构化预测问题上取得了很好的效果,实验表明模型学习的可行性和广泛性。
Abstract
inference
in expressive probabilistic models is generally intractable, which makes them difficult to learn and limits their applicability.
sum-product networks
are a class of deep models where, surprisingly,
→