Ken Kobayashi
2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ken Kobayashi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ken Kobayashi overall
Papers from Ken Kobayashi's perspective
Ordered by how strongly the researchers Ken Kobayashi trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Piecewise-Linear Approximation for Feature Subset Selection in a Sequential Logit Model
- Variable Selection
- Performance of some variable selection methods when multicollinearity is present
- Nonlinear total variation based noise removal algorithms
- The Elements of Statistical Learning
- Estimating the Dimension of a Model
- An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression (Journal of machine learning research)
- Some Comments on Cp
Their papers
- BEST SUBSET SELECTION FOR ELIMINATING MULTICOLLINEARITY (2017) — 47 citations