Approximate Inference A lgorithms for Two-Layer Bayesian Networks
Ng, Andrew Y., Jordan, Michael I.
–Neural Information Processing Systems
We present a class of approximate inference algorithms for graphical models of the QMR-DT type. We give convergence rates for these algorithms andfor the Jaakkola and Jordan (1999) algorithm, and verify these theoretical predictions empirically.
Neural Information Processing Systems
Dec-31-2000
- Country:
- Asia > Middle East
- Jordan (0.30)
- North America > United States (0.14)
- Asia > Middle East
- Industry:
- Health & Medicine (0.48)