BriefGPT.xyz
Feb, 2013
学习贝叶斯网络：离散和高斯领域的统一
Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains
HTML
PDF
David Heckerman, Dan Geiger
TL;DR
研究贝叶斯方法学习来自先前知识和统计数据的贝叶斯网络。通过使用Dirichlet和正态-威夏特分布的统计事实，结合贝叶斯评分度量，我们实现了对离散和高斯域的统一方法。
Abstract
We examine
bayesian methods
for learning Bayesian networks from a combination of prior knowledge and statistical data. In particular, we unify the approaches we presented at last year's conference for discrete and
gauss
→