Simon Maskell

Artificial Intelligence · 2001–2010

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Maskell trusts overall

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

  1. Arnaud Doucet
  2. Jun S. Liu
  3. Neil J. Gordon
  4. Lawrence R. Rabiner
  5. Rong Chen
  6. Simon Justin Julier
  7. Rudolph van der Merwe
  8. Eric A. Wan
  9. Pierre Del Moral
  10. Michael K. Pitt

Who trusts Simon Maskell overall

  1. Dieter Fox
  2. Sunanda Mitra
  3. Olivier Capp'e
  4. Zuoguan Wang
  5. Arnaud Doucet
  6. T. Acharya
  7. J. Aslam
  8. Pete Trautman
  9. Michael Dowd
  10. Simon J. Godsill

Papers from Simon Maskell's perspective

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

  1. A tutorial on hidden Markov models and selected applications in speech recognition
  2. Following a moving target—Monte Carlo inference for dynamic Bayesian models
  3. Particle filters for state estimation of jump Markov linear systems (IEEE Transactions on Signal Processing)
  4. The Unscented Particle Filter
  5. Sequential Monte Carlo Methods in Practice
  6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  7. Filtering via Simulation: Auxiliary Particle Filters
  8. Sequential Monte Carlo methods for dynamic systems
  9. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
  10. New extension of the Kalman filter to nonlinear systems

Their papers