Keke Chen

Artificial Intelligence · with Chapelle · 2007

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keke Chen trusts overall

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

  1. Thorsten Joachims

Who trusts Keke Chen overall

  1. Olivier Chapelle

Papers from Keke Chen's perspective

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

  1. Optimizing search engines using clickthrough data
  2. Learning to rank using gradient descent
  3. Large Margin Methods for Structured and Interdependent Output Variables
  4. Greedy function approximation: A gradient boosting machine.
  5. Accurately interpreting clickthrough data as implicit feedback
  6. Pranking with Ranking (Neural Information Processing Systems)
  7. Large Margin Rank Boundaries for Ordinal Regression
  8. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  9. The Nature of Statistical Learning
  10. Information Theory: 1948-1998 - Guest Editorial

Their papers