Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
–Neural Information Processing Systems
The principle of multi-task learning, which encompasses concepts such as "learning to learn" and "knowledge transfer," offers an efficient paradigm that mirrors human intelligence.
Neural Information Processing Systems
Oct-10-2025, 17:19:08 GMT
- Country:
- Asia > China
- Guangdong Province > Shenzhen (0.04)
- Hong Kong (0.04)
- Europe
- France > Île-de-France
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- North America
- Trinidad and Tobago > Trinidad
- United States (0.14)
- Asia > China
- Genre:
- Research Report
- Experimental Study (1.00)
- New Finding (1.00)
- Research Report
- Industry:
- Banking & Finance (0.92)
- Technology:
- Information Technology
- Artificial Intelligence > Machine Learning
- Neural Networks > Deep Learning (0.67)
- Statistical Learning > Regression (0.46)
- Transfer Learning (0.66)
- Data Science > Data Mining (1.00)
- Artificial Intelligence > Machine Learning
- Information Technology