B. Hofner

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom B. Hofner trusts overall

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

  1. Jerome H. Friedman
  2. Robert Tibshirani
  3. Peter Buhlmann
  4. David Ruppert
  5. Jun Yan
  6. Thomas Kneib
  7. Yoav Freund
  8. Ludwig Fahrmeir

Who trusts B. Hofner overall

  1. Thomas Kneib
  2. Torsten Hothorn
  3. Peter Buhlmann
  4. Philipp Probst

Papers from B. Hofner's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Greedy function approximation: A gradient boosting machine.
  3. The Nature of Statistical Learning Theory
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Experiments with a New Boosting Algorithm
  6. Generalized Additive Models
  7. Boosting with the L2-loss: regression and classification
  8. PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE
  9. Boosting with the L_2-Loss: Regression and Classification
  10. Survival Analysis: Techniques for Censored and Truncated Data

Their papers