Loi Lei Lai

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Loi Lei Lai trusts overall

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

  1. Jerome H. Friedman
  2. Vladimir Naumovich Vapni
  3. Ya-Xiang Yuan

Papers from Loi Lei Lai's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Greedy function approximation: A gradient boosting machine.
  3. Practical Bayesian Optimization of Machine Learning Algorithms
  4. Validation of short and medium term operational solar radiation forecasts in the US
  5. Multiphysics simulation of wave energy to electric energy conversion by permanent magnet linear generator (IEEE transactions on energy conversion)
  6. Rethinking satellite-based solar irradiance modelling: The SOLIS clear-sky module
  7. A working guide to boosted regression trees.
  8. Recent advances in trust region algorithms (Mathematical programming)
  9. Review of photovoltaic power forecasting
  10. The Elements of Statistical Learning

Their papers