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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improvement of the SAM algorithm based on causal structure analysis

Ming Jia, Bin Jia, Qingsong Cai
Machine Learning and ELM
article

Improvement of the SAM algorithm based on causal structure analysis

Ming Jia, Bin Jia, Qingsong Cai
article en

Abstract

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.

Beijing Technology and Business University (CN)
Openalex Percentile: Top 100%
Machine Learning and ELM
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.