Henry V. Burton

Statistics and Probability · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Henry V. Burton trusts overall

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

  1. N. Jayaram
  2. Trevor J. Hastie

Who trusts Henry V. Burton overall

  1. Anne S. Kiremidjian
  2. David Lallemant
  3. H. Noh

Papers from Henry V. Burton's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Categorical Data Analysis
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
  7. STATISTICAL ANALYSIS OF FRAGILITY CURVES
  8. Long Short-Term Memory
  9. Correlation model for spatially distributed ground‐motion intensities
  10. Learning Multiple Layers of Features from Tiny Images

Their papers