The Entire Regularization Path for the Support Vector Machine

Rosset, Saharon, Tibshirani, Robert, Zhu, Ji, Hastie, Trevor J.

Dec-31-2005–Neural Information Processing Systems

We have a set of 71 training pairs 27,-, yi, Where x,- 6 R" is a p-Vector of real valued predictors

artificial intelligence, machine learning, piecewise linear, (15 more...)

Neural Information Processing Systems

Dec-31-2005

Conferences PDF

Country:
- North America > United States
  - California > Santa Clara County (0.15)
  - Michigan (0.14)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Support Vector Machines (1.00)

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The Entire Regularization Path for the Support Vector Machine
The Entire Regularization Path for the Support Vector Machine

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