Mark Briers

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Briers trusts overall

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

  1. Arnaud Doucet
  2. Simon Justin Julier
  3. Neil J. Gordon
  4. Jun S. Liu
  5. Pierre Del Moral
  6. Lawrence R. Rabiner
  7. Rong Chen
  8. Simon J. Godsill
  9. Jeffrey K. Uhlmann
  10. Arthur P. Dempster

Who trusts Mark Briers overall

  1. Simo Särkkä
  2. Arnaud Doucet
  3. Olivier Capp'e
  4. Nikolas Kantas
  5. Ajay Jasra
  6. Sumeetpal S. Singh
  7. Yisen Wang
  8. Adam M. Johansen
  9. Simon J. Godsill
  10. Bo Dai

Papers from Mark Briers's perspective

Ordered by how strongly the researchers Mark Briers 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. On sequential Monte Carlo sampling methods for Bayesian filtering
  3. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  4. Sequential Monte Carlo Methods in Practice
  5. The Unscented Particle Filter
  6. Particle filters for state estimation of jump Markov linear systems (IEEE Transactions on Signal Processing)
  7. Sequential Monte Carlo methods for dynamic systems
  8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  9. New extension of the Kalman filter to nonlinear systems
  10. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm

Their papers