Keem Siah Yap

IEEE Transactions on Power Delivery · 2010–2015

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Keem Siah Yap trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Christopher K. I. Williams
  3. Nello Cristianini
  4. Mohammadreza Asghari Oskoei
  5. Chih-Jen Lin
  6. Tingyao Wu

Who trusts Keem Siah Yap overall

  1. Paria Jokar

Papers from Keem Siah Yap's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Statistical learning theory
  3. Support-Vector Networks
  4. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  5. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  6. A Practical Guide to Support Vector Classication
  7. Probability Estimates for Multi-class Classification by Pairwise Coupling (Journal of machine learning research)
  8. Electricity theft: a comparative analysis
  9. Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb (IEEE Transactions on Biomedical Engineering)
  10. Statistical Learning Theory

Their papers