M. Giles

Artificial Intelligence · with Doucet · 2009

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Giles trusts overall

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

  1. Jun S. Liu
  2. Radford M. Neal

Papers from M. Giles's perspective

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

  1. Monte Carlo strategies in scientific computing
  2. Sequential Monte Carlo samplers
  3. Annealed importance sampling
  4. Monte Carlo Statistical Methods
  5. Finite Mixture Models (Wiley Series in Probability and Statistics)
  6. Accelerating Molecular Dynamic Simulation on Graphics Processing Units (Journal of Computational Chemistry)
  7. Accelerating molecular modeling applications with graphics processors (Journal of Computational Chemistry)
  8. An Object-Oriented Random-Number Package with Many Long Streams and Substreams (Operational Research)
  9. Combined Parameter and State Estimation in Simulation-Based Filtering (Sequential Monte Carlo Methods in Practice)
  10. Monte Carlo Strategies in Scientific Computing

Their papers