J. F. G. D. Freitas
Probabilistic & Bayesian Methods · 2000–2001
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Probabilistic & Bayesian Methods — 7 citations into it
Whom J. F. G. D. Freitas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- David John Cameron MacKay
- Jun S. Liu
- Michael K. Pitt
- Neil J. Gordon
- Adrian F. M. Smith
- N. Shephard
- Rong Chen
- George V. Cybenko
- Anthony J. Robinson
Who trusts J. F. G. D. Freitas overall
- Michael Montemerlo
- Sebastian Thrun
- Arnaud Doucet
- A. Ihler
- Jaco Vermaak
- Christophe Andrieu
- Yangfeng Ji
- Rudolph van der Merwe
- Fredrik K. Gustafsson
- Nando de Freitas
Papers from J. F. G. D. Freitas's perspective
Ordered by how strongly the researchers J. F. G. D. Freitas trusts endorse each paper. Same corpus, a different order for every researcher.
- Hybrid Monte Carlo
- Bayesian statistics without tears: A sampling-resampling perspective
- Bayesian learning for neural networks
- Improved particle filter for nonlinear problems
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- Sequential Monte Carlo methods for dynamic systems
- Filtering via Simulation: Auxiliary Particle Filters
- Backpropagation Applied to Handwritten Zip Code Recognition
- Bayesian Interpolation
- An application of recurrent nets to phone probability estimation
Their papers
- Sequential Monte Carlo Methods to Train Neural Network Models (2000) — 234 citations
- Editors: Sequential Monte Carlo Methods in Practice (2001) — 1,123 citations