Tin Kam Ho

Artificial Intelligence · 1998–2019

A researcher in the Science corpus: 8 papers; trusts 10 researchers and is trusted by 300 researchers here, as inferred from the citation graph.

Subfields

Whom Tin Kam Ho trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Yuhai Wu
  3. Steven L. Salzberg
  4. Yoav Freund
  5. Robert E. Schapire
  6. Alberto Maria Segre
  7. Jerome H. Friedman
  8. J. Ross Quinlan
  9. Sreerama K. Murthy
  10. William I. Gasarch

Who trusts Tin Kam Ho overall

  1. Battista Biggio
  2. Giorgio Fumera
  3. Piotr Doll'ar
  4. Pierre Geurts
  5. Gérard Biau
  6. Gilles Louppe
  7. Zhi-Hua Zhou
  8. Robi Polikar
  9. Ludmila I. Kuncheva
  10. Tomás Pevný

Papers from Tin Kam Ho's perspective

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

  1. Statistical learning theory
  2. Programs for Machine Learning
  3. Random Forests
  4. Greedy function approximation: A gradient boosting machine.
  5. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  6. Experiments with a New Boosting Algorithm
  7. Statistical Learning Theory
  8. Scikit-learn: Machine Learning in Python
  9. A Survey on Transfer Learning
  10. ImageNet classification with deep convolutional neural networks

Their papers