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UAI
2004
15 years 8 months ago
"Ideal Parent" Structure Learning for Continuous Variable Networks
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
Iftach Nachman, Gal Elidan, Nir Friedman
IDEAS
2007
IEEE
146views Database» more  IDEAS 2007»
16 years 26 days ago
Approximate Structural Matching over Ordered XML Documents
There is an increasing need for an XML query engine that not only searches for exact matches to a query but also returns “query-like” structures. We have designed and develope...
Nitin Agarwal, Magdiel Galan Oliveras, Yi Chen
BIBE
2008
IEEE
111views Bioinformatics» more  BIBE 2008»
15 years 8 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...
IJCAI
2001
15 years 8 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
NAR
2000
120views more  NAR 2000»
15 years 6 months ago
SCOP: a Structural Classification of Proteins database
The Structural Classification of Proteins (SCOP) database provides a detailed and comprehensive description of the relationships of all known proteins structures. The classificati...
Loredana Lo Conte, Bart Ailey, Tim J. P. Hubbard, ...