Andrew Howard Gee

Probabilistic & Bayesian Methods · 1993–2001

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 7 citations into it

Whom Andrew Howard Gee trusts overall

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

1. Radford M. Neal
2. David John Cameron MacKay
3. John J. Hopfield
4. Stephen Grossberg
5. Jun S. Liu
6. Michael K. Pitt

Who trusts Andrew Howard Gee overall

1. Irwan Bello
2. Hieu Pham
3. Quoc V. Le
4. K. Smith‐Miles
5. Mohammad Norouzi

Papers from Andrew Howard Gee's perspective

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

1. Hybrid Monte Carlo
2. Bayesian statistics without tears: A sampling-resampling perspective
3. Improved particle filter for nonlinear problems
4. Sequential Monte Carlo methods for dynamic systems
5. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
6. Bayesian learning for neural networks
7. Filtering via Simulation: Auxiliary Particle Filters
8. Bayesian Interpolation
9. Backpropagation Applied to Handwritten Zip Code Recognition
10. An application of recurrent nets to phone probability estimation

Their papers

• Sequential Monte Carlo Methods to Train Neural Network Models (2000) — 234 citations
• Sequential Monte Carlo Methods for Neural Networks (2001) — 44 citations
• Problem solving with optimization networks (1993)