ICML 2007 - The 24th Annual International Conference on Machine Learning

Learning Probabilistic Stochastic Models from Probabilistic Examples

author: Stephen Muggleton, Imperial College London

Categories

Top: Computer Science: Machine Learning: Inductive Logic Programming
Top: Computer Science: Machine Learning: Human Language Technology

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*Slides*
0:00	Learning probabilistic logic models from probabilistic examples
1:41	Introduction
4:03	Background and motivation
5:38	Abductive SLPs
9:19	Learning metabolic network inhibition
11:32	Metabolic network inhibition learned by Abductive ILP
14:00	Extracting Probabilistic Examples from scientific data
16:25	Experiments learning metabolic network inhibition
17:06	Experiment results
18:31	Metabolic network inchibition learned by Abductive SLPs
19:39	Abductive SLP models
20:33	Discussion and conclusions

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