Luca Ghelardoni

Statistics and Probability · 2012

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Luca Ghelardoni trusts overall

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

  1. Yuhai Wu
  2. Ron Kohavi
  3. Thomas G. Dietterich
  4. Isabelle M Guyon
  5. Olivier Chapelle

Papers from Luca Ghelardoni's perspective

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

  1. Statistical Learning Theory
  2. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  3. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  4. Choosing Multiple Parameters for Support Vector Machines
  5. A Practical Guide to Support Vector Classication
  6. The elements of statistical learning: data mining, inference and prediction
  7. A Practical Guide to Support Vector Classification
  8. A survey of cross-validation procedures for model selection
  9. Model Selection: Beyond the Bayesian/Frequentist Divide
  10. Gradient-based learning applied to document recognition

Their papers