Henry Ying Kei Lau

Artificial Intelligence · 2016

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

Subfields

Whom Henry Ying Kei Lau trusts overall

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

  1. Sylvain Calinon
  2. Todd K. Moon
  3. Jens Kober
  4. Aude Gemma Billard
  5. M. Emre Celebi
  6. Katharina Muelling

Papers from Henry Ying Kei Lau's perspective

Ordered by how strongly the researchers Henry Ying Kei Lau trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Robot Programming by Demonstration
  2. Reinforcement learning in robotics: A survey
  3. The Infinite Gaussian Mixture Model
  4. Learning to select and generalize striking movements in robot table tennis
  5. Large-Scale Machine Learning with Stochastic Gradient Descent
  6. Robot Programming by Demonstration
  7. Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers (Pattern Recognition)
  8. Incremental local online Gaussian Mixture Regression for imitation learning of multiple tasks
  9. Using Dynamic Time Warping to Find Patterns in Time Series
  10. The expectation-maximization algorithm

Their papers