David W. Opitz

Model Architectures · 1997–1999

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David W. Opitz trusts overall

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

  1. David E. Rumelhart
  2. John E. Moody
  3. Robert E. Schapire
  4. Leo Breiman
  5. Jerome H. Friedman
  6. J. Ross Quinlan
  7. David Hilton Wolpert
  8. Yoav Freund
  9. Geoffrey E. Hinton
  10. Richard Maclin

Who trusts David W. Opitz overall

  1. Kenneth O. Stanley
  2. Risto Miikkulainen
  3. K. Smith‐Miles
  4. Johannes Fürnkranz
  5. Prem Melville
  6. J. Kolter
  7. Duc Le
  8. Byron Knoll
  9. Erik P. Garrison
  10. Peter D. Turney

Papers from David W. Opitz's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adaptive Mixtures of Local Experts
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. The Strength of Weak Learnability
  7. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  8. Bias, Variance , And Arcing Classifiers
  9. Reinforcement Learning: An Introduction
  10. UCI Repository of machine learning databases

Their papers