Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures

Publikationsart: Beiträge zu wissenschaftlicher Konferenz/Tagung
Titel: Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures
Medien: The 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Warschau, 17. - 21. September 2007
DOI: 10.1007/978-3-540-74958-5_24
Autoren: Andreas Nägele, Mathäus Dejori, Rui Chang, Prof. Dr. Martin Stetter
Seiten: 238-249
Veröffentlichungsdatum: 21.09.2007
Zitation: Nägele, Andreas; Dejori, Mathäus; Chang, Rui; Stetter, Martin (2007): Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. The 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Warschau, 17. - 21. September 2007, S. 238-249. DOI: 10.1007/978-3-540-74958-5_24