Erin J. Bredensteiner

2000

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Erin J. Bredensteiner trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Bernhard Schölkopf
  3. John C. Platt
  4. Alex Smola

Who trusts Erin J. Bredensteiner overall

  1. Ronny Luss
  2. Ulrike von Luxburg
  3. Ichigaku Takigawa
  4. Ricardo Ñanculef
  5. Ambra Demontis
  6. Gert R. G. Lanckriet
  7. Olivier Bousquet
  8. Alexandre d'Aspremont

Papers from Erin J. Bredensteiner's perspective

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

  1. The Nature of Statistical Learning Theory
  2. New Support Vector Algorithms
  3. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods
  4. Structural Risk Minimization Over Data-Dependent Hierarchies
  5. A fast iterative nearest point algorithm for support vector machine classifier design (IEEE Trans. Neural Networks Learn. Syst.)
  6. Uniqueness of the SVM Solution
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers