# Regularization Path

**See:** Support Vector Machine Algorithm.

## References

### 2004

- (Hastie et al., 2004) ⇒ Trevor Hastie, Saharon Rosset, Robert Tibshirani, and Ji Zhu. (2004). “The Entire Regularization Path for the Support Vector Machine.” In: The Journal of Machine Learning Research, 5.
- ... In this paper we argue that the choice of the cost parameter can be critical. We then derive an algorithm that can fit the entire
**path**of SVM solutions for every value of the cost parameter, with essentially the same computational cost as fitting one SVM model.

- ... In this paper we argue that the choice of the cost parameter can be critical. We then derive an algorithm that can fit the entire