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» Inferring Knowledge from a Large Semantic Network
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BCB
2010
140views Bioinformatics» more  BCB 2010»
14 years 7 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
BMCBI
2008
166views more  BMCBI 2008»
14 years 12 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
CNSM
2010
14 years 3 months ago
Towards non-expert users monitoring networks and services through semantically enhanced visualizations
— Managing networks and services in large virtual enterprises often requires significant expertise to decipher and reconcile information coming from several heterogeneous sources...
Owen Conlan, John Keeney, Cormac Hampson, Fion&aac...
FLAIRS
2009
14 years 9 months ago
Improving Biomedical Document Retrieval by Mining Domain Knowledge
When research articles introduce new findings or concepts they typically relate them only to knowledge and domain concepts of immediate relevance. However, many domain concepts re...
Shuguang Wang, Milos Hauskrecht
KR
2004
Springer
15 years 5 months ago
Optimization Techniques for Retrieving Resources Described in OWL/RDF Documents: First Results
Practical description logic systems play an ever-growing role for knowledge representation and reasoning research even in distributed environments. In particular, the often-discus...
Volker Haarslev, Ralf Möller