Tomomi Matsui
2002–2017
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.
Whom Tomomi Matsui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tomomi Matsui overall
Papers from Tomomi Matsui's perspective
Ordered by how strongly the researchers Tomomi Matsui 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
- An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression (Journal of machine learning research)
- Asymptotics for lasso-type estimators
- Best Subset Selection via a Modern Optimization Lens
Their papers
- Optimality of mixed-level supersaturated designs (2002) — 77 citations
- BEST SUBSET SELECTION FOR ELIMINATING MULTICOLLINEARITY (2017) — 47 citations