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NIPS ´08 Workshop: Structured Input - Structured Output

Integrating Ontological Prior Knowledge into Relational Learning

author:Stefan Reckow, Max Planck Institute
author:Volker Tresp, Siemens
published: Dec. 20, 2008, recorded: December 2008, views: 40

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Slides

Slides
0:00	Integrating Ontological Prior Knowledge into Relational Learning
0:17	Proteins and Protein Ontologies
0:21	Protein and Protein Functions
0:56	Protein function prediction
1:27	"Function" Ontologies
2:14	"Complex" Ontology
2:36	Ontologies as Great Source of Prior Knowledge in Machine Learning
3:40	Statistical Relational Learning with the IHRM
3:47	Statistical Relational Learning (SRL)
5:14	Standard Latent Model for Protein Mixture Models
7:17	Infinite Hidden Relational Model (IHRM)
8:53	Ground Network
9:05	Experimental Results
9:58	Results
10:35	IHRM Results
11:15	Integrating Ontological Prior Knowledge into the IHRM
11:21	Integration of ontologies (1)
12:27	Integration of ontologies (2)
13:04	Experiments: Including "Complex" Ontology
13:57	Results (1)
14:39	Results (2)
15:03	Results (3)
15:55	Results (4)
16:15	Results (5)
16:45	Results (6)
17:26	Conclusion
19:33	- Questions
22:29	- Questions

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