A.P.A. da Silva

IEEE Transactions on Power Systems · with El-Sharkawi · 2004

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

Whom A.P.A. da Silva trusts overall

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

  1. Yuhai Wu

Papers from A.P.A. da Silva's perspective

Ordered by how strongly the researchers A.P.A. da Silva trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Decision trees for real-time transient stability prediction
  2. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  3. Statistical Learning Theory
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  6. Deep Learning
  7. What regularized auto-encoders learn from the data-generating distribution
  8. Learning and relearning in Boltzmann machines
  9. A Connection Between Score Matching and Denoising Autoencoders
  10. Gradient learning in spiking neural networks by dynamic perturbation of conductances.

Their papers