Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints
A Bayesian network (BN) is an uncertainty processing model that simulates human cognitive thinking on the basis of probability theory and graph theory. Its network topology is a directed acyclic graph (DAG) that can be manually constructed through expert knowledge or automatically generated through...
Saved in:
| Main Authors: | Yinglong Dang, Xiaoguang Gao, Zidong Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Fractal and Fractional |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-3110/9/6/394 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection
by: Yinglong Dang, et al.
Published: (2025-07-01) -
MbGWO-SFS: Modified Binary Grey Wolf Optimizer Based on Stochastic Fractal Search for Feature Selection
by: El-Sayed M. El-Kenawy, et al.
Published: (2020-01-01) -
A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model
by: Yinglong Dang, et al.
Published: (2025-01-01) -
Optimal Investment Based on Performance Measure and Stochastic Benchmark Under PI and Position Constraints
by: Chengzhe Wang, et al.
Published: (2025-06-01) -
Stationary Bayesian–Markov Equilibria in Bayesian Stochastic Games with Periodic Revelation
by: Eunmi Ko
Published: (2024-09-01)