Klaus Brinker

Artificial Intelligence · 2003–2008

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Klaus Brinker trusts overall

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

  1. Chih-Wei Hsu
  2. Simon Tong
  3. Greg Schohn
  4. Donald Michie
  5. H. Sebastian Seung
  6. Chih-Jen Lin
  7. Daphne Koller
  8. Yuhai Wu
  9. David A. Cohn
  10. Christopher K. I. Williams

Who trusts Klaus Brinker overall

  1. Claudio Persello
  2. Burr Settles
  3. Begüm Demir
  4. Wei Shen
  5. Lorenzo Bruzzone
  6. Byron C. Wallace
  7. Min-Ling Zhang
  8. Jianyong Wang
  9. Mohammad S. Sorower
  10. Thomas A. Trikalinos

Papers from Klaus Brinker's perspective

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

  1. Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  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 Nature of Statistical Learning Theory
  7. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  8. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Query by committee

Their papers