Learning Probabilistic Stochastic Models from Probabilistic Examples

Lecture slides:

• Learning probabilistic logic models from probabilistic examples
• Introduction
• Background and motivation
• Abductive SLPs
• Learning metabolic network inhibition
• Metabolic network inhibition learned by Abductive ILP
• Extracting Probabilistic Examples from scientific data
• Experiments learning metabolic network inhibition
• Experiment results
• Metabolic network inchibition learned by Abductive SLPs
• Abductive SLP models
• Discussion and conclusions

Author: Stephen Muggleton, Imperial College London