Akiko Yoshise

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Akiko Yoshise trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Colin L. Mallows
  2. Hirotugu Akaike
  3. Daniel McFadden

Who trusts Akiko Yoshise overall

  1. Berk Ustun

Papers from Akiko Yoshise's perspective

Ordered by how strongly the researchers Akiko Yoshise trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An Introduction to Variable and Feature Selection
  2. Estimating the Dimension of a Model
  3. Selection of Relevant Features and Examples in Machine Learning
  4. An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression (Journal of machine learning research)
  5. A new look at the statistical model identification
  6. Gene Selection for Cancer Classification using Support Vector Machines
  7. Efficient L1 Regularized Logistic Regression (AAAI Conference on Artificial Intelligence)
  8. Conditional logit analysis of qualitative choice behavior
  9. Some Comments on Cp
  10. Some comments on C_p

Their papers