Learning CRFs with Hierarchical Features: An Application to Go

Posted in Science on September 24, 2008


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

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