A hybrid machine learning framework by incorporating categorical boosting and manifold learning for financial analysis
The financial analysis is essential to evaluate and assess the financial behavior and risk during the financial activities. However, it is challenging to implement the financial analysis due to the complexity of financial features and their interaction mechanism. This study developed a hybrid machin...
Saved in:
| Main Authors: | Yuyang Zhao, Hongbo Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | Intelligent Systems with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305324001479 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Manifold learning in statistical tasks
by: A.V. Bernstein
Published: (2018-06-01) -
Manifold learning based on kernel density estimation
by: A.P. Kuleshov, et al.
Published: (2018-06-01) -
Gearbox Fault Diagnosis based on Time-frequency Combination Feature Extraction and Manifold Learning of MS-LTSA
by: Lingjun Xiao, et al.
Published: (2022-03-01) -
Regularized manifold information extreme learning machine
by: De-shan LIU, et al.
Published: (2016-11-01) -
Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization
by: Amit Kumar K., et al.
Published: (2024-04-01)