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» Learning Bayesian Networks from Incomplete Databases
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FOIS
2006
14 years 16 days ago
PR-OWL: A Framework for Probabilistic Ontologies
Abstract. Across a wide range of domains, there is an urgent need for a wellfounded approach to incorporating uncertain and incomplete knowledge into formal domain ontologies. Alth...
Paulo Cesar G. da Costa, Kathryn B. Laskey
ICDE
2005
IEEE
126views Database» more  ICDE 2005»
14 years 4 months ago
ProtChew: Automatic Extraction of Protein Names from Biomedical Literature
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical inform...
Amund Tveit, Rune Sætre, Astrid Lægrei...
BIBE
2008
IEEE
111views Bioinformatics» more  BIBE 2008»
14 years 1 months ago
Structure learning for biomolecular pathways containing cycles
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
14 years 2 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
ICML
2009
IEEE
14 years 12 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji