Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage

Grandvalet, Yves, Canu, Stéphane

Dec-31-1999–Neural Information Processing Systems

In supervised learning, we have a set of explicative variables x from which we wish to predict a response variable y.

adaptive ridge, coefficient, covariate, (16 more...)

Neural Information Processing Systems

Dec-31-1999

Conferences PDF

Country:
- North America > United States
  - New York (0.05)
  - Massachusetts > Middlesex County
    - Cambridge (0.04)
- Europe
  - United Kingdom > England
    - Cambridgeshire > Cambridge (0.04)
  - France > Hauts-de-France
    - Oise > Compiègne (0.05)

Technology:
- Information Technology > Artificial Intelligence
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.47)
  - Machine Learning
    - Statistical Learning (1.00)
    - Learning Graphical Models > Directed Networks
      - Bayesian Learning (0.47)

Duplicate Docs Excel Report

Title
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage

Similar Docs Excel Report more

Title	Similarity	Source
None found