Gordon Sun

Artificial Intelligence · 2007–2009

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gordon Sun trusts overall

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

  1. Jerome H. Friedman
  2. Thorsten Joachims

Who trusts Gordon Sun overall

  1. Olivier Chapelle

Papers from Gordon Sun's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Optimizing search engines using clickthrough data
  3. Stochastic gradient boosting
  4. Learning to rank using gradient descent
  5. Cumulated gain-based evaluation of IR techniques
  6. Large Margin Methods for Structured and Interdependent Output Variables
  7. Multitask Learning
  8. Learning Gaussian processes from multiple tasks
  9. Task Clustering and Gating for Bayesian Multitask Learning
  10. A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling

Their papers