Keyphrases
Transfer Learning
100%
Linear Regression
100%
Transfer Learning Model
50%
Minimum Mean Square Error
33%
Learning Process
16%
Learning Settings
16%
Learning Points
16%
Source Parameters
16%
Task Learning
16%
Solution Space
16%
Training Data
16%
Parameter Vector
16%
2-norm
16%
Common Design
16%
Linear Minimum Mean Square Error (LMMSE)
16%
Prior Distribution
16%
Generalization Error
16%
Ridge Regression Model
16%
Generalization Performance
16%
Regression Task
16%
Double Descent
16%
Design philosophy
16%
Gaussian Prior
16%
Regression Optimization
16%
Computer Science
Case Study
100%
Transfer Learning
100%
Learning Approach
33%
Solution Error
33%
Learning Process
11%
Training Data
11%
Parameter Vector
11%
Solution Space
11%
Regularization
11%
Generalization Error
11%
Generalization Performance
11%
Regression Method
11%
Regression Task
11%
Source Parameter
11%
Ridge Regression
11%
Mathematics
Linear Regression
100%
Transfer Learning
100%
Mean Square Error
33%
Gaussian Distribution
11%
Data Sample
11%
Solution Space
11%
Regularization
11%
Parameter Vector
11%
Learning Task
11%
True Parameter
11%
Training Data
11%
Ridge Regression
11%
Key Difference
11%
Engineering
Transfer Learning
100%
Tasks
55%
Mean Square Error
33%
Learning Approach
33%
Gaussians
11%
Data Sample
11%
Regularization
11%
Parameter Vector
11%
Space Solution
11%
Learning Task
11%
Related Task
11%
Key Difference
11%
Norm Solution
11%