CL-NOTEARS: Continuous Optimization Algorithm Based on Curriculum Learning Framework

Causal structure learning plays a crucial role in the current field of artificial intelligence, yet existing causal structure learning methods are susceptible to interference from data sample noise and often become trapped in local optima. To address these challenges, this paper introduces a continu...

Full description

Saved in:

Bibliographic Details
Published in:	Mathematics (Basel) Vol. 12; no. 17; p. 2640
Main Authors:	Liu, Kaiyue, Liu, Lihua, Xiao, Kaiming, Li, Xuan, Zhang, Hang, Zhou, Yun, Huang, Hongbin
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2024
Subjects:	Accuracy Algorithms Artificial intelligence casual structure Continuity (mathematics) continuous optimization Curricula curriculum learning Decision making Gaussian cluster Heuristic Learning Machine learning Methods Optimization Optimization algorithms Performance evaluation Random variables
ISSN:	2227-7390, 2227-7390
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!