Steven Van Vaerenbergh

2012

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Steven Van Vaerenbergh trusts overall

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

  1. Christopher K. I. Williams
  2. Vladimir Cherkassky
  3. Floris Takens
  4. Carl E. Rasmussen
  5. Simon S. Haykin
  6. Manfred Opper
  7. Hannes Nickisch
  8. P. S. Ramirez
  9. Weifeng Liu
  10. Vladimir Naumovich Vapni

Papers from Steven Van Vaerenbergh's perspective

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

  1. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  2. ImageNet classification with deep convolutional neural networks
  3. Adaptive Filter Theory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Sparse Online Gaussian Processes
  6. Gaussian Processes for Machine Learning (GPML) Toolbox
  7. Fundamentals of Adaptive Filtering
  8. The kernel recursive least-squares algorithm (IEEE Transactions on Signal Processing)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Detecting strange attractors in turbulence

Their papers