The Future...
Progress will parallel and leverage on extensions to modeling
- More expressive representation languages
- Better continuous/discrete models
- Increase cross-fertilization with neural networks
Range of applications
- Biology - DNA, control, financial, perception...
Beyond current learning model
- Feature discovery
- Model decisions about the process: distributions, feature selection
- Utilities
Hybrid methods -- Bayesian networks as “glue”?