- compressive sensing¶
Compressive sensing (CS), also known as compressive sampling, is an efficient method for constructing sparse solutions for linear systems.
- cross validation¶
Cross validation (CV) is commonly employed to evaluated the transferability and accuracy of linear problems.
The least absolute shrinkage and selection operator (LASSO) is a method for performing variable selection and regularization in problems in statistics and machine learning.
Regularization, is commonly used in machine learning to combat overfitting and for solving underdetermined systems.
Root mean square error, is a frequently measure for the deviation between a reference data set and a predicted data set.