Robert J. Ragno

Artificial Intelligence · 2006–2007

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 64 researchers here, as inferred from the citation graph.

Subfields

Whom Robert J. Ragno trusts overall

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

  1. Jerome H. Friedman
  2. Thorsten Joachims
  3. C. Burges
  4. Ioannis Tsochantaridis
  5. Lian Yan
  6. Dong C. Liu
  7. Irina Matveeva

Who trusts Robert J. Ragno overall

  1. Olivier Chapelle
  2. Weinan Zhang
  3. Fabrizio Silvestri
  4. Hang Li
  5. Jun Wang
  6. Thorsten Joachims
  7. Tie-Yan Liu
  8. Jun Xu
  9. Filip Radlinski
  10. Sebastian Bruch

Papers from Robert J. Ragno's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Support vector machine learning for interdependent and structured output spaces
  3. Optimizing search engines using clickthrough data
  4. The Anatomy of a Large-Scale Hypertextual Web Search Engine
  5. Learning to rank using gradient descent
  6. IR evaluation methods for retrieving highly relevant documents
  7. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  8. Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic (International Conference on Machine Learning)
  9. On the limited memory BFGS method for large scale optimization
  10. High accuracy retrieval with multiple nested ranker

Their papers