Bathiya Jayasekara

IEEE Transactions on Power Systems · 2006

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Bathiya Jayasekara trusts overall

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

  1. Yuhai Wu
  2. John Shawe-Taylor
  3. Nello Cristianini
  4. Christopher K. I. Williams

Papers from Bathiya Jayasekara's perspective

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

  1. Statistical Learning Theory
  2. Neural Networks for Pattern Recognition
  3. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  4. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  5. Kernel Methods for Pattern Analysis
  6. ImageNet classification with deep convolutional neural networks
  7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. The Nature of Statistical Learning Theory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers