AI and Big Data

An Introduction to Bayesian Networks

  • December 27, 2020
  • Cyanny Liang

冬日晴好, 下午看完了论文, 对Bayesian Network是什么有了系统的了解.论文是causalnex工具里提到的
Stephenson, Todd Andrew. An introduction to Bayesian network theory and usage. No. REP_WORK. IDIAP, 2000.

该论文主要论述了以下几点:

  • What is Bayesian network
  • Inference Bayesian network: junction tree algorithm
  • Learning Bayesian Network
  • Applications
    • Automatic Speech Recognition: Dynamic Bayesian Network
    • Computer troubleshooting
    • Medical diagnosis
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Structure Learning Algorithm NOTEARS

  • December 25, 2020
  • Cyanny Liang

最近三年扎进了AI领域, 学了很多算法, 最近开始真正拉高维度看AI, AI不仅仅是Machine Learning, 还有State Based, Variable Bases, Logic编程等方法. 最近半年看了The book of Why, 深受启发, 看世界的角度也发生很大变化, 同时也觉得因果推理将是一个值得研究的好领域, 就算目前落地场景不多, 相信未来也是大有可为.

今天静下来, 好好看了在CausalNex库中, 用到的算法NOTEARS, 用于结构学习, 该论文发表在2018的NIPS, 方法神奇, 解决方案简洁, 以下是自己的一些笔记:

Paper: Zheng, Xun, et al. “DAGs with NO TEARS: Continuous optimization for structure learning.” Advances in Neural Information Processing Systems 31 (2018): 9472-9483.

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