Improvement of the SAM algorithm based on causal structure analysis
In response to the computational complexity issue of the directed acyclic graph constraint in the Structure-Agnostic Model (SAM), we have proposed an innovative solution: an improved algorithm for the directed acyclic graph constraint based on continuous optimization. This algorithm, while maintaining the original acyclic constraint conditions, ingeniously introduces a hyperparameter α as an important component of the constraint. This improvement not only effectively reduces the computational complexity but also enhances the precision of the calculations to a certain extent.
Authors
- Ming Jia (ORCID: https://orcid.org/0000-0003-2544-0259)
- Bin Jia (ORCID: https://orcid.org/0000-0001-5071-2573)
- Qingsong Cai (ORCID: https://orcid.org/0000-0003-2439-4051)
Institutions
- Beijing Technology and Business University (CN)
Publication Details
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1117/12.3055811
- Primary Topic
- Machine Learning and ELM
- Type
- article
- Field-Weighted Citation Impact
- 0.00