L. Upda

2001

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom L. Upda trusts overall

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

  1. Yoav Freund
  2. Michael I. Jordan
  3. Robert A. Jacobs
  4. Robert E. Schapire
  5. Nick Littlestone

Who trusts L. Upda overall

  1. Fei Ye
  2. Adrian G. Bors
  3. Honglin Li
  4. Tyler L. Hayes
  5. Xiaoliang Dai
  6. Ronald Kemker
  7. Jiangpeng He
  8. Steven C. H. Hoi
  9. Xiaodong Li
  10. Qing Liu

Papers from L. Upda's perspective

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

  1. A decision-theoretic generalization of on-line learning and an application to boosting
  2. UCI Repository of machine learning databases
  3. Hierarchical Mixtures of Experts and the EM Algorithm
  4. Adaptive Mixtures of Local Experts
  5. The weighted majority algorithm
  6. Boosting the margin: A new explanation for the effectiveness of voting methods
  7. Experiments with a New Boosting Algorithm
  8. Nonlinear neural networks: Principles, mechanisms, and architectures
  9. Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional Maps
  10. On Combining Classifiers

Their papers