Learning CRFs with Hierarchical Features: An Application to Go
Lecture slides:
- Learning CRFs with Hierarchical Features: An Application to Go
- The Game of Go
- Territory Prediction
- Talk Outline
- Hierarchical Patterns
- Models
- Independent Pattern-based Classifiers
- Inference and Training
- Bayesian Model Averaging
- Hierarchical Tree Models
- CRF & Pattern CRF
- Inference and Training
- Pseudolikelihood
- Local Training
- Evaluation
- Models & Algorithms
- Training Time
- Inference Time
- Performance Metrics
- Performance Tradeoffs I
- Why is Vertex Error better for CRFs?
- Why is Net Error worse for CRFs?
- Bias of Local Training
- Performance Tradeoffs II
- Conclusions
Author: Scott Sanner, University Of Toronto