Michael W. Boldt

2016

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

Whom Michael W. Boldt trusts overall

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

  1. Malte Helmert

Who trusts Michael W. Boldt overall

  1. Sarath Sreedharan
  2. Tathagata Chakraborti

Papers from Michael W. Boldt's perspective

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

  1. The Fast Downward Planning System
  2. Learning action models from plan examples using weighted MAX-SAT
  3. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)
  4. Acquiring planning domain models using LOCM
  5. A tutorial on hidden Markov models and selected applications in speech recognition
  6. AND T
  7. The Unscented Particle Filter
  8. Particle filters for state estimation of jump Markov linear systems (IEEE Transactions on Signal Processing)
  9. A Probabilistic Exclusion Principle for Tracking Multiple Objects (Proceedings of the Seventh IEEE International Conference on Computer Vision)
  10. Combined Parameter and State Estimation in Simulation-Based Filtering (Sequential Monte Carlo Methods in Practice)

Their papers