The 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)

Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures

author: Andreas Nägele, Siemens

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*Slides*
0:00	Bayesian Substructure Learning
0:17	Basic Principles: Structure Learning of Bayesian Networks
1:40	Challenges / Related Work
3:39	Substructure Learning: Idea
5:01	Substructure Learning: Algorithm
5:37	Substructure Learning: Algorithm (2)
6:05	Substructure Learning: Algorithm
9:30	Substructure Learning: Algorithm (2)
9:46	Substructure Learning: Complexity Considerations
12:33	Results: Benchmark Data and Algorithms
13:46	Results: Performance for 500, 1000 and 5000 samples
15:13	Results: Average performance over all sample sizes
16:43	Results: Average speedup
17:39	Results: Large Network
18:45	Conclusion

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