Vladislav Z. B. Tadic

Artificial Intelligence · 2004

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vladislav Z. B. Tadic trusts overall

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

  1. Nicolas Chopin
  2. Sebastian Thrun
  3. Geir Storvik
  4. Arnaud Doucet

Papers from Vladislav Z. B. Tadic's perspective

Ordered by how strongly the researchers Vladislav Z. B. Tadic trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Following a moving target—Monte Carlo inference for dynamic Bayesian models
  2. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  3. On sequential Monte Carlo sampling methods for Bayesian filtering
  4. Sequential Monte Carlo Methods in Practice
  5. Particle filters for state estimation of jump Markov linear systems (IEEE Transactions on Signal Processing)
  6. Combined Parameter and State Estimation in Simulation-Based Filtering (Sequential Monte Carlo Methods in Practice)
  7. Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks (Conference on Uncertainty in Artificial Intelligence)
  8. A survey of algorithmic methods for partially observed Markov decision processes
  9. A sequential particle filter method for static models
  10. Monte Carlo Smoothing for Nonlinear Time Series (Journal of the American Statistical Association)

Their papers